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On Uncertain Probabilistic Data Modeling
Teng Lv,Ping Yan,Weimin He 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.12
Uncertainty in data is caused by various reasons including data itself, data mapping, and data policy. For data itself, data are uncertain because of various reasons. For example, data from a sensor network, Internet of Things or Radio Frequency Identification is often inaccurate and uncertain because of devices or environmental factors. For data mapping, integrated data from various heterogonous data sources is commonly uncertain because of uncertain data mapping, data inconsistency, missing data, and dirty data. For data policy, data is modified or hided for policies of data privacy and data confidentiality in an organization. But traditional deterministic data management mainly deals with deterministic data which is precise and certain, and cannot process uncertain data. Modeling uncertain data is a foundation of other technologies for further processing data, such as indexing, querying, searching, mapping, integrating, and mining data, etc. Probabilistic data models of relational databases, XML data and graph data are widely used in many applications and areas today, such as World Wide Web, semantic web, sensor networks, Internet of Things, mobile ad-hoc networks, social networks, traffic networks, biological networks, genome databases, and medical records, etc. This paper presents a survey study of different probabilistic models of uncertain data in relational databases, XML data, and graph data, respectively. The advantages and disadvantages of each kind of probabilistic modes are analyzed and compared. Further open topics of modeling uncertain probabilistic data such as semantic and computation aspects are discussed in the paper. Criteria for modeling uncertain data, such as expressive power, complexity, efficiency, extension are also proposed in the paper.
Lv, Teng,Yan, Ping The Korean Society for Computational and Applied M 2010 Journal of applied mathematics & informatics Vol.28 No.1
In this paper, we study delayed high-order Cohen-Grossberg neural networks with reaction-diffusion terms and Neumann boundary conditions. By using inequality techniques and constructing Lyapunov functional method, some sufficient conditions are given to ensure the existence and convergence of the periodic oscillatory solution. Finally, an example is given to verify the theoretical analysis.
Storing and Updating XML Data Tree based on Linked Lists
Teng Lv,Ping Yan 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.4
XML has become the de facto standard for data exchange and transformation on the World Wide Web and is widely used in many applications of various fields, so it is urgent to develop some efficient methods to manage, store, query, and update XML data. There are two main methods to do this: the first method is a native approach which uses native XML databases to store XML data, and the second method use other mature commercial databases approaches to store and manage XML data considering the advantages of mature technologies of the commercial databases, especially use relational databases to store, query, and update XML data. For relational databases approach, although it can take advantage of mature technologies of relational databases, it needs to map XML data to relational data. In this paper, we research the problem of how to store XML data so that storing and updating of original XML data can be efficient than relational approach. We proposed a method to store XML data into linked lists with inverted index, in which the relationships between nodes of XML data tree are preserved by the links in linked lists. Inverted index are created for linked lists for efficiently querying and updating XML data tree. Two kinds of updates are considered including inserting a new node in or deleted an existed old node from XML data tree. Theoretical analysis of our algorithms shows that the methods proposed in the paper are efficient.
Teng Lv,Ping Yan 한국전산응용수학회 2010 Journal of applied mathematics & informatics Vol.28 No.1
In this paper, we study delayed high-order Cohen-Grossberg neural networks with reaction-diffusion terms and Neumann boundary conditions. By using inequality techniques and constructing Lyapunov functional method, some sufficient conditions are given to ensure the existence and convergence of the periodic oscillatory solution. Finally, an example is given to verify the theoretical analysis.
Lv Fei,Yang Wen-Yan,Chen Zhi-Teng,Xu Qiang,Zhou Yi-Jing,Du Yu-Zhou 한국응용곤충학회 2017 Journal of Asia-Pacific Entomology Vol.20 No.3
Partial mitogenomes of three species from the genus Ips (Coleoptera; Curculionidae), Ips grandicollis, Ips sexdentatus and Ips typographus were sequenced and analyzed. The three mitogenomes are 11,553-bp with 28 genes, 13,135-bp with 30 genes, and 13,502-bp with 30 genes, respectively. Their gene arrangements are consistent with that of Drosophila yakuba. The three Ips species shared the conserved overlapping sequence motif “ATGATAG” between ATP8 and ATP6, using TTG as start codon for ND1 genes and TAG as stop codon for ATP8 genes. All tRNA genes could fold into typical cloverleaf structures except for tRNASer1. Three tRNASer1 genes lack the DHU arm and instead formed the D-loop. The phylogenetic analyses indicate that Scolytinae is paraphyly and belongs to Curculionidae. The Eurasian I. sexdentatus is sister group to the North American I. grandicollis and the Eurasian I. typographus. The phylogeny of Ips based on COI genes indicates that Ips is paraphyly, Ips perroti and Orthotomicus suturalis are sister groups and Ips spinifer is grouped with (Orthotomicus chaokhao + Orthotomicus erosus).
The Study on the Way of Radioactive Waste Disposal in China
Keyan Teng,Hao Peng,Caixia Lv,Han Wu 한국방사성폐기물학회 2022 방사성폐기물학회지 Vol.20 No.4
Because of the massive development of nuclear power plants in China in recent years, China is facing the challenge of radioactive waste disposal. China has established complete regulatory requirements for radioactive waste disposal, but it also has encountered problems and challenges in low-level radioactive waste disposal in terms of management, selection of disposal facility sites, and implementation of a site selection plan. Three low-level radioactive waste disposal facilities that have been operated in China are described, and their activity limits, locations, and capacities are also outlined. The connotations of “regional” and “centralized” disposal policies are discussed in light of the characteristics of the radioactive waste. The characteristics and advantages of the regional and centralized disposal policies are compared. It is concluded that the regional disposal policy adopted in 1992 can no longer meet the current disposal needs, and China should adopt a combination of the two disposal policies to solve the problem of radioactive waste disposal.
Zhou, Chao,Teng, Wen-Jing,Yang, Jing,Hu, Zhen-Bo,Wang, Cong-Cong,Qin, Bao-Ning,Lv, Qing-Liang,Liu, Ze-Wang,Sun, Chang-Gang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13
Background: Chronic myelocytic leukemia is a disease that threatens both adults and children. Great progress has been achieved in treatment but protein-protein interaction networks underlining chronic myelocytic leukemia are less known. Objective: To develop a protein-protein interaction network for chronic myelocytic leukemia based on gene expression and to predict biological pathways underlying molecular complexes in the network. Materials and Methods: Genes involved in chronic myelocytic leukemia were selected from OMIM database. Literature mining was performed by Agilent Literature Search plugin and a protein-protein interaction network of chronic myelocytic leukemia was established by Cytoscape. The molecular complexes in the network were detected by Clusterviz plugin and pathway enrichment of molecular complexes were performed by DAVID online. Results and Discussion: There are seventy-nine chronic myelocytic leukemia genes in the Mendelian Inheritance In Man Database. The protein-protein interaction network of chronic myelocytic leukemia contained 638 nodes, 1830 edges and perhaps 5 molecular complexes. Among them, complex 1 is involved in pathways that are related to cytokine secretion, cytokine-receptor binding, cytokine receptor signaling, while complex 3 is related to biological behavior of tumors which can provide the bioinformatic foundation for further understanding the mechanisms of chronic myelocytic leukemia.
Down-regulation of miRNA-452 is Associated with Adriamycin-resistance in Breast Cancer Cells
Hu, Qing,Gong, Jian-Ping,Li, Jian,Zhong, Shan-Liang,Chen, Wei-Xian,Zhang, Jun-Ying,Ma, Teng-Fei,Ji, Hao,Lv, Meng-Meng,Zhao, Jian-Hua,Tang, Jin-Hai Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13
Adriamycin (ADR) is an important chemotherapeutic agent frequently used in treatment of breast cancer. However, resistance to ADR results in treatment failure in many patients. Recent studies have indicated that microRNAs (miRNAs) may play an important role in such drug-resistance. In the present study, microRNA-452 (miR-452) was found to be significantly down-regulated in adriamycin-resistant MCF-7 cells (MCF-7/ADR) compared with the parental MCF-7 cells by miRNA microarray and real-time quantitative PCR (RT-qPCR). MiR-452 mimics and inhibitors partially changed the adriamycin-resistance of breast cancer cells, as also confirmed by apoptosis assay. In exploring the potential mechanisms of miR-452 in the adriamycin-resistance of breast cancer cells, bioinformatics analysis, RT-qPCR and Western blotting showed that dysregulation of miR-452 played an important role in the acquired adriamycin-resistance of breast cancer, maybe at least in part via targeting insulin-like growth factor-1 receptor (IGF-1R).