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2010 International Conference of Logistics engineering and Management: Logistics for Sustained Economic Development - Infrastructure, Information, Integration, ICLEM 2010

作者： Zhang, Jing Ye, Liuqi Business School Hohai University Nanjing Jiangsu 210098 China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing 100872 China

ISBN: (纸本)9780784411391

Protecting personal privacy and its right are a respect for the human rights, the necessary condition for healthy development of a democratic society and the important criteria of maintaining the basic dignity to be human. The internet of things with its ubiquitous data-aware and intelligent information processing capabilities, improves social efficiency and severe challenges for information security and privacy. In this environment, how to ensure information security and privacy are a major breakthrough in one of the obstacles and an important issue that must be addressed and resolved in the developing process of the internet of things. Thus, in the development of it, we should follow the basic principles of protecting personal privacy such as the entire management, legal compliance, security, adding information, balance and accountability, and establish such models of protecting personal privacy as laws, industry self-regulation and technology to fully protect the inviolability of personal privacy, and remove obstacles and barriers for the applications of the internet of things. © 2010 ASCE.

关键词： Logistics

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RETRACTED ARTICLE: System formulation of knowledge sharing and exchange in the organization

RETRACTED ARTICLE: System formulation of knowledge sharing a...

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ISBN: (纸本)9781424453269

knowledge resource is becoming the most important in an organization, Its exploring degree has direct influence on the core competitive power of the organization. System is also an integral part, the basis and protection for keeping an organization working well, thus the organization realizes its knowledge sharing and exchange and knowledge resource exploring by establishing the group learning system, regular meeting system, the knowledge report system and the knowledge publicity system. Then knowledge can be transmitted widely in the organization and generate knowledge contributions, innovations and promote the core competitive power. © 2010 IEEE.

关键词： knowledge management

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Inhibition of ALDH2 by disulfiram leads to synthetic lethality via ROS strikes twice in ARID1A-deficient cholangiocarcinoma

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Genes & Diseases 2023年第1期10卷 69-71页

作者： Tingming Liang Lin Jia Rui Duan Lulu Shen Dekang Ren Yujie Ren Yuyang Dou Li Guo Jiangsu Key Laboratory for Molecular and Medical Biotechnology School of Life ScienceNanjing Normal UniversityNanjingJiangsu210023China Department of Bioinformatics Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu ProvinceSchool of Geographic and Biologic InformationNanjing University of Posts and TelecommunicationsNanjingJiangsu 210023China

Synthetic lethality describes an interaction whereby the co-occurrence of two mutations leads to cell death but one mutation alone does not,which can be exploited for cancer therapeutics.1 Due to lacking effective nonsurgical treatment and early clinical diagnosis markers,patients have high mortality and low overall survival rates in cholangiocarcinoma(CCA).

关键词： diagnosis mortality alone

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Global Collaboration in Artificial Intelligence:Bibliometrics and Network Analysis from 1985 to 2019

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Journal of data and Information Science 2020年第4期5卷 86-115页

作者： Haotian Hu Dongbo Wang Sanhong Deng School of Information Management Nanjing UniversityNanjing 210023China College of Information and Technology Nanjing Agricultural UniversityNanjing 210095China Jiangsu Key Laboratory of Data Engineering and Knowledge Service Nanjing 210023China

Purpose:This study aims to explore the trend and status of international collaboration in the field of artificial intelligence(AI)and to understand the hot topics,core groups,and major collaboration patterns in global AI ***/methodology/approach:We selected 38,224 papers in the field of AI from 1985 to 2019 in the core collection database of Web of Science(WoS)and studied international collaboration from the perspectives of authors,institutions,and countries through bibliometric analysis and social network ***:The bibliometric results show that in the field of AI,the number of published papers is increasing every year,and 84.8%of them are cooperative *** with more than three authors,collaboration between two countries and collaboration within institutions are the three main levels of collaboration *** social network analysis,this study found that the US,the UK,France,and Spain led global collaboration research in the field of AI at the country level,while Vietnam,Saudi Arabia,and United Arab Emirates had a high degree of international *** at the institution level reflects obvious regional and economic *** are the Developing Countries Institution Collaboration Group led by Iran,China,and Vietnam,as well as the Developed Countries Institution Collaboration Group led by the US,Canada,the ***,the Chinese Academy of Sciences(China)plays an important,pivotal role in connecting the these institutional collaboration *** limitations:First,participant contributions in international collaboration may have varied,but in our research they are viewed equally when building collaboration ***,although the edge weight in the collaboration network is considered,it is only used to help reduce the network and does not reflect the strength of *** implications:The findings fill the current shortage of research on international collaboration in A

关键词： Artificial intelligence International collaboration Collaboration pattern Bibliometric analysis Social network analysis

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DB Facade: A web cache with improved data freshness

DB Facade: A web cache with improved data freshness

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2nd International Symposium on Electronic Commerce and Security, ISECS 2009

作者： Xiongpai, Qin Zhou, Xiaoyun Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing 100872 China School of Information and Electrical Engineering China University of Mining Technology Xuzhou Jiangsu 221008 China

ISBN: (纸本)9780769536439

Traditional web database cache techniques have a major disadvantage, namely poor data freshness, because they employ an asynchronous data refresh strategy. A novel web database cache, DB Façade, is proposed in this paper. DB Facade uses a main memory database to cache result sets of previous queries for subsequent reusing. Updates on backend database system are managed by delta tables, and then propagated to web database cache in a near real-time manner, hence guarantee the freshness of data. DB Facade offloads query burden from backend database systems, and exploits the power of main memory database system to boost query performance. TPC-W testing result shows that the system's performance increases by about 17 percent. © 2009 IEEE.

关键词： Facades

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CHDbase:A Comprehensive knowledgebase for Congenital Heart Disease-related Genes and Clinical Manifestations

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Genomics, Proteomics & Bioinformatics 2023年第1期21卷 216-227页

作者： Wei-Zhen Zhou Wenke Li Huayan Shen Ruby W.Wang Wen Chen Yujing Zhang Qingyi Zeng Hao Wang Meng Yuan Ziyi Zeng Jinhui Cui Chuan-Yun Li Fred Y.Ye Zhou Zhou State Key Laboratory of Cardiovascular Disease Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular DiseasesCenter of Laboratory MedicineFuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100037China International Joint Informatics Laboratory&Jiangsu Key Laboratory of Data Engineering and Knowledge Service School of Information ManagementNanjing UniversityNanjing 210023China Institute of Molecular Medicine Peking UniversityBeijing 100871China

Congenital heart disease(CHD)is one of the most common causes of major birth defects,with a prevalence of 1%.Although an increasing number of studies have reported the etiology of CHD,the findings scattered throughout the literature are difficult to retrieve and utilize in research and clinical *** therefore developed CHDbase,an evidence-based knowledgebase of CHD-related genes and clinical manifestations manually curated from 1114 publications,linking 1124 susceptibility genes and 3591 variations to more than 300 CHD types and related *** such as the information of each publication and the selected population and samples,the strategy of studies,and the major findings of studies were integrated with each item of the research *** also integrated functional annotations through parsing50 databases/tools to facilitate the interpretation of these genes and variations in disease *** further prioritized the significance of these CHD-related genes with a gene interaction network approach and extracted a core CHD sub-network with 163 *** clear genetic landscape of CHD enables the phenotype classification based on the shared genetic ***,CHDbase provides a comprehensive and freely available resource to study CHD susceptibilities,supporting a wide range of users in the scientific and medical *** is accessible at http://***.

关键词： Congenital heart disease Congenital heart defect database Genetics Classification

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CitationAS： A Tool of Automatic Survey Generation Based on Citation Content

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Journal of data and Information Science 2018年第2期3卷 20-37页

作者： jie wang chengzhi zhang mengying zhang sanhong deng School of Information Management Nanjing University Nanjing 210023 China Department of Information Management Nanjing University of Science and Technology Nanjing 210094 China Jiangsu Key Laboratory of Data Engineering and Knowledge Service Nanjing University Nanjing 210023 China

Purpose： This study aims to build an automatic survey generation tool, named CitationAS, based on citation content as represented by the set of citing sentences in the original ***/methodology/approach： Firstly, we apply LDA to analyse topic distribution of citation content. Secondly, in CitationAS, we use bisecting K-means, Lingo and STC to cluster retrieved citation content. Then Word2Vec, Word Net and combination of them are applied to generate cluster labels. Next, we employ TF-IDF, MMR, as well as considering sentence location information, to extract important sentences, which are used to generate surveys. Finally, we adopt manual evaluation for the generated ***： In experiments, we choose 20 high-frequency phrases as search terms. Results show that Lingo-Word2Vec, STC-Word Net and bisecting K-means-Word2Vec have better clustering effects. In 5 points evaluation system, survey quality scores obtained by designing methods are close to 3, indicating surveys are within acceptable limits. When considering sentence location information, survey quality will be improved. Combination of Lingo, Word2Vec, TF-IDF or MMR can acquire higher survey *** limitations： The manual evaluation method may have a certain subjectivity. We use a simple linear function to combine Word2Vec and Word Net that may not bring out their strengths. The generated surveys may not contain some newly created knowledge of some articles which may concentrate on sentences with no *** implications： CitationAS tool can automatically generate a comprehensive, detailed and accurate survey according to user’s search terms. It can also help researchers learn about research status in a certain ***/value： Citaiton AS tool is of practicability. It merges cluster labels from semantic level to improve clustering results. The tool also considers sentence location information when calculating sentence score by TF-IDF and MMR.

关键词： Automatic survey system Citation content Clustering algorithms Labelgeneration approaches Sentence extraction methods

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The Second-order h-type Indicators for Identifying Top Units

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data and Information Management 2018年第1期2卷 49-56页

作者： Ye, Fred Y. Bornmann, Lutz School of Information Management Nanjing University 210023 Nanjing China Jiangsu Key Laboratory of Data Engineering and Knowledge Service 210023 Nanjing China Administrative Headquarters of the Max Planck Society Division for Science and Innovation Studies Hofgartenstr. 8 D-80539 Munich Germany

The second-order h-type indicators are suggested to identify top units in scientometrics. Basically, the re-ranking of h-type series leads to the second-order h-type indicator. The second-order h-type indicators provide an interesting and natural method to identify top units, yielding fixed h-top. Differentiating from the series of artificially defined highly cited percentile classes, the h-top contributes a natural definite top in the series of highly cited classes. When studying theoretically, the second-order h-index concerns 3% of the h-top whereas the first-order h-index refers to 10% of the h-core. The ratio of the first- and second-order h-index, hT/h, is 30%. When studying empirically, the ratio of the first- and second-order h-index, hT/h, is © 2018 © 2018 Fred Y. Ye, Lutz Bornmann, published by Sciendo

关键词： Indexing (of information)

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Rankings never really quantify contributions: A quantitative and qualitative study on universities and their libraries

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Journal of Library Science in China 2020年 117-126页

作者： Shelia X.WEI Ronda J.ZHANG Howell Y.WANG CAO Cong Fred Y.YE International Joint Informatics Laboratory & Jiangsu Key Laboratory of Data Engineering and Knowledge Services School of Information Management Nanjing University Nottingham University Business School University of Nottingham

By comparing quantitative ranking with qualitative contributions, we reveal that academic assessment has to put real contributions ahead of quantitative indicators and that rankings have nothing to do with universities’ and their libraries’ true values. The greatness of a university lies in its impacts on the progress for human knowledge and the promotion for social development. Although ranking of universities by way of quantitative indicators can reflect some information, we should pay more attention to qualitative contributions.

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BDLR:lncRNA identification using ensemble learning

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BIOCELL 2022年第4期46卷 951-960页

作者： LEJUN GONG SHEHAI ZHOU JINGMEI CHEN YONGMIN LI LI ZHANG ZHIHONG GAO Jiangsu Key Lab of Big Data Security&Intelligent Processing School of Computer Science Nanjing University of Posts and TelecommunicationsNanjing210046China Smart Health Big Data Analysis and Location Services Engineering Laboratory of Jiangsu Province Nanjing210046China Zhejiang Engineering Research Center of Intelligent Medicine Wenzhou325035China College of Computer Science and Technology Nanjing Forestry UniversityNanjing210037China

Long non-coding RNAs(lncRNAs)play an important role in many life activities such as epigenetic material regulation,cell cycle regulation,dosage compensation and cell differentiation regulation,and are associated with many human *** are many limitations in identifying and annotating lncRNAs using traditional biological experimental *** the development of high-throughput sequencing technology,it is of great practical significance to identify the lncRNAs from massive RNA sequence data using machine learning *** on the Bagging method and Decision Tree algorithm in ensemble learning,this paper proposes a method of lncRNAs gene sequence identification called *** identification results of this classification method are compared with the identification results of several models including Byes,Support Vector Machine,Logical Regression,Decision Tree and Random *** experimental results show that the lncRNAs identification method named BDLR proposed in this paper has an accuracy of 86.61%in the human test set and 90.34%in the mouse for lncRNAs,which is more than the identification results of the other ***,the proposed method offers a reference for researchers to identify lncRNAs using the ensemble learning.

关键词： lncRNAs High-throughput sequencing Ensemble learning Bagging Decision Tree

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