Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (18)
  • Open Access


    Exploring the attenuation mechanisms of Dalbergia odorifera leaves extract on cerebral ischemia-reperfusion based on weighted gene co-expression network analysis


    BIOCELL, Vol.47, No.7, pp. 1611-1622, 2023, DOI:10.32604/biocell.2023.028684

    Abstract Background: The attenuation function of Dalbergia odorifera leaves on cerebral ischemia-reperfusion (I/R) is little known. The candidate targets for the Chinese herb were extracted from brain tissues through the high-affinity chromatography. The molecular mechanism of D. odorifera leaves on cerebral I/R was investigated. Methods: Serial affinity chromatography based on D. odorifera leaves extract (DLE) affinity matrices were applied to find specific binding proteins in the brain tissues implemented on C57BL/6 mice by intraluminal middle cerebral artery occlusion for 1 h and reperfusion for 24 h. Specific binding proteins were subjected to mass-spectrometry to search for the differentially expressed proteins between… More >

  • Open Access


    Pour un observatoire des données géographiques du Web

    Expérimentation à partir des infrastructures de données géographiques françaises

    Matthieu Noucher1 , Françoise Gourmelon2, Christophe Claramunt3

    Revue Internationale de Géomatique, Vol.29, No.1, pp. 9-30, 2019, DOI:10.3166/rig.2019.00074

    Abstract Extensive uses of geographic information generate a data deluge on many Web infrastructures. Monitoring and analyzing the content of these platforms is still a research challenge because these can be considered as very dynamic informational and algorithmic black boxes. The concept of “geographical information observatory” appears as an appropriate mean to monitor, analyze and then provide a better understanding of the evolution of the volume and flows of the spatial data available on a specific web infrastructure. Nevertheless, its implementation raises several methodological questions discussed in this paper, starting from the experimentation of a diachronic data observation of French Spatial… More >

  • Open Access


    Équité environnementale et accessibilité aux parcs à Ho Chi Minh Ville (Vietnam)

    Anh Tu Hoang1 , Philippe Apparicio1, Thi-Thanh-Hien Pham2

    Revue Internationale de Géomatique, Vol.29, No.2, pp. 135-158, 2019, DOI:10.3166/rig.2019.00071

    Abstract The objective of this article is to assess environmental equity regarding the accessibility of parks for four population groups (children, older people, low-education individuals, and highly-educated persons) in Ho Chi Minh City (HCMC). To achieve this, two accessibility measures calculated according to network distance in GIS: the distance to the nearest park (immediate proximity) and the enhanced two-step floating catchment area method (availability based on supply and demand). Several regression models were then constructed, with the accessibility measures as dependent variables and the percentages of the four groups as independent variables. The results show that the accessibility of parks in… More >

  • Open Access


    Transcriptome analysis reveals potential genes associated with plant height in rice


    BIOCELL, Vol.47, No.2, pp. 409-421, 2023, DOI:10.32604/biocell.2023.023543

    Abstract Plant height (PH) is a complex trait regulated by the environment and multiple genes. PH directly affects crop yield, harvest index, and lodging resistance. From plant dwarf mutants, many genes related to PH have been identified and described. Nonetheless, the molecular mechanism of height regulation in high-culm rice mutants has not been well studied. By using transcriptome and weighted gene co-expression network analysis (WGCNA), we identified the differentially expressed genes (DEGs) between high-culm rice mutants (MUT) and wild-type (WT) and explored the key pathways and potential candidate genes involved in PH regulation. Transcriptome analysis identified a total of 2,184 DEGs,… More >

  • Open Access


    Social Opinion Network Analytics in Community Based Customer Churn Prediction

    Ayodeji O. J Ibitoye1,*, Olufade F. W Onifade2

    Journal on Big Data, Vol.4, No.2, pp. 87-95, 2022, DOI:10.32604/jbd.2022.024533

    Abstract Community based churn prediction, or the assignment of recognising the influence of a customer’s community in churn prediction has become an important concern for firms in many different industries. While churn prediction until recent times have focused only on transactional dataset (targeted approach), the untargeted approach through product advisement, digital marketing and expressions in customer’s opinion on the social media like Twitter, have not been fully harnessed. Although this data source has become an important influencing factor with lasting impact on churn management. Since Social Network Analysis (SNA) has become a blended approach for churn prediction and management in modern… More >

  • Open Access


    Model for Generating Scale-Free Artificial Social Networks Using Small-World Networks

    Farhan Amin, Gyu Sang Choi*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6367-6391, 2022, DOI:10.32604/cmc.2022.029927

    Abstract The Internet of Things (IoT) has the potential to be applied to social networks due to innovative characteristics and sophisticated solutions that challenge traditional uses. Social network analysis (SNA) is a good example that has recently gained a lot of scientific attention. It has its roots in social and economic research, as well as the evaluation of network science, such as graph theory. Scientists in this area have subverted predefined theories, offering revolutionary ones regarding interconnected networks, and they have highlighted the mystery of six degrees of separation with confirmation of the small-world phenomenon. The motivation of this study is… More >

  • Open Access


    Correlating Transcriptional Networks to Papillary Renal Cell Carcinoma Survival: A Large-Scale Coexpression Analysis and Clinical Validation

    Xingliang Feng*1, Meng Zhang*†1, Jialin Meng*, Yongqiang Wang, Yi Liu*, Chaozhao Liang*, Song Fan*

    Oncology Research, Vol.28, No.3, pp. 285-297, 2020, DOI:10.3727/096504020X15791676105394

    Abstract We aimed to investigate the potential mechanisms of progression and identify novel prognosis-related biomarkers for papillary renal cell carcinoma (PRCC) patients. The related data were derived from The Cancer Genome Atlas (TCGA) and then analyzed by weighted gene coexpression network analysis (WGCNA). The correlation between each module and the clinical traits were analyzed by Pearson’s correlation analysis. Pathway analysis was conducted to reveal potential mechanisms. Hub genes within each module were screened by intramodule analysis, and visualized by Cytoscape software. Furthermore, important hub genes were validated in an external dataset and clinical samples. A total of 5,839 differentially expressed genes… More >

  • Open Access


    Identification of a Novel Cancer Stemness-Associated ceRNA Axis in Lung Adenocarcinoma via Stemness Indices Analysis

    Pihua Han*†1, Haiming Yang‡1, Xiang Li*1, Jie Wu*, Peili Wang§, Dapeng Liu*, Guodong Xiao, Xin Sun*, Hong Ren*

    Oncology Research, Vol.28, No.7-8, pp. 715-729, 2020, DOI:10.3727/096504020X16037124605559

    Abstract The aim of this study was to identify a novel cancer stemness-related ceRNA regulatory axis in lung adenocarcinoma (LUAD) via weighted gene coexpression network analysis of a stemness index. The RNA sequencing expression profiles of 513 cancer samples and 60 normal samples were obtained from the TCGA database. Differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs), and miRNAs (DEmiRNAs) were identified with R software. Functional enrichment analysis was conducted using DAVID 6.8. The ceRNA network was constructed via multiple bioinformatics analyses, and the correlations between possible ceRNAs and prognosis were analyzed using Kaplan–Meier plots. WGCNA was then applied to distinguish key genes… More >

  • Open Access


    Weighted gene co-expression network analysis identifies a novel immune-related gene signature and nomogram to predict the survival and immune infiltration status of breast cancer


    BIOCELL, Vol.46, No.7, pp. 1661-1673, 2022, DOI:10.32604/biocell.2022.018023

    Abstract Breast cancer is one of the most common cancers in the world and seriously threatens the health of women worldwide. Prognostic models based on immune-related genes help to improve the prognosis prediction and clinical treatment of breast cancer patients. In the study, we used weighted gene co-expression network analysis to construct a co-expression network to screen out highly prognostic immune-related genes. Subsequently, the prognostic immune-related gene signature was successfully constructed from highly immune-related genes through COX regression and LASSO COX analysis. Survival analysis and time receiver operating characteristic curves indicate that the prognostic signature has strong predictive performance. And we… More >

  • Open Access


    ICMPTend: Internet Control Message Protocol Covert Tunnel Attack Intent Detector

    Tengfei Tu1,2, Wei Yin3, Hua Zhang1,2,*, Xingyu Zeng1, Xiaoxiang Deng1, Yuchen Zhou1, Xu Liu4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2315-2331, 2022, DOI:10.32604/cmc.2022.022540

    Abstract The Internet Control Message Protocol (ICMP) covert tunnel refers to a network attack that encapsulates malicious data in the data part of the ICMP protocol for transmission. Its concealment is stronger and it is not easy to be discovered. Most detection methods are detecting the existence of channels instead of clarifying specific attack intentions. In this paper, we propose an ICMP covert tunnel attack intent detection framework ICMPTend, which includes five steps: data collection, feature dictionary construction, data preprocessing, model construction, and attack intent prediction. ICMPTend can detect a variety of attack intentions, such as shell attacks, sensitive directory access,… More >

Displaying 1-10 on page 1 of 18. Per Page