A dual-role hierarchical RBAC extended security model based on department attributes and its application

In order to overcome the problems of the classic RBAC model, such as user identity cannot be verified, role assignment conflicts, permission leakage, complicated roles and permissions configuration, etc., this paper proposes a dual-role hierarchical RBAC extended security model based on department attributes. Firstly, based on the identity authentication mechanism, the legality of the user identity used by the system and its department attributes are authenticated, and the legal identity users are associated with their departments. Then, the roles were divided into responsibility roles and system roles in the classic RBAC model, which are defined by the system administrator is responsible for configuring system roles according to the permission control requirements of resources and operations in the system. The person in charge of the department to which the user belongs configures the role for the user according to the actual work responsibilities of each user, and the person in charge of the department is responsible for the relationship between the role and the system. Finally, this dual-role hierarchical RBAC extended security model based on department attributes is applied to the authority management scheme of a power grid business system. The security analysis and practical results show that this dual-role hierarchical RBAC extended security model based on department attributes is a system rights management solution with strong security and practicability

Severe Accident Steady-State Modeling of Advanced Nuclear Power Plant Based on ASTEC Code

Severe accident is an attractive topic today for the nuclear power plant (NPP) safety. In the nuclear safety regulatory work, it is planned to build a full scale severe accident model for the advanced nuclear power plant of China to study the new designs of severe accident prevention and mitigation systems and strategies, and to further deploy the application on the level 2 PSA and severe accident management guidance. This paper firstly introduces the modeling tool, ASTEC, and then presents the progress of modeling work, which is mainly on the steady state modeling and regulation including reactor block, primary and secondary cooling systems, regulation systems etc. Last but not least, the work plan for the future is given.</jats:p

Ag-decorated ZnO nanorods prepared by photochemical deposition and their high selectivity to ethanol using conducting oxide electrodes

A novel gas sensor structure consisting of LaNiO3 thin film electrodes and gas sensitive Ag nanoparticle-decorated ZnO nanorods is presented in this work.</p

The Key Candidate Genes in Tubulointerstitial Injury of Chronic Kidney Diseases (CKD) Patients as Determined by Bioinformatic Analysis

Abstract Background: Tubulointerstitial injury (TIL) is common in chronic kidney disease (CKD), which in turn, leads to loss of renal function. The aims of present study were to screen critical genes with tubulointerstitial lesion in CKD by weighted gene correlation network analysis (WGCNA). Methods: GSE104954 gene expression data downloaded from GEO database were used for analysis for differential expression genes(DEGs); Meanwhile, 90 expression data of tubulointerstitial samples in GSE47185 combined with clinic information were applied to WGCNA. According to the enrichment analysis and relationship with estimated glomerular filtration rate (eGFR), the eGFR-associated modules were defined, and the hub gene is selected according to the average intramodular connectivity (Kwithin); Clinical data from Nephroseq were obtained to further validate the relationship between CKD and hub genes. Results: Totally 294 DEGs were screened. Using the WGCNA, we identified 15 co-expressed modules, the blue, brown and yellow modules exhibited strongly association with eGFR, and were significantly enriched in several signaling pathways that have been reported involved in pathogenesis of CKD. Furthermore, it was found that the 4 genes (PLG, ITGB2, CTSS and CCL5) was one of the DEGs which also be identified as hub genes according to Kwithin. Finally, the Nephroseq online tool showed that the tubulointerstitial expression levels of PLG significantly positively correlated with the eGFR, while ITGB2, CTSS and CCL5 connected negatively to the eGFR. Conclusion: WGCNA is an efficient approach to system biology. By this procedure, the present study improved the understanding of the transcriptome status of renal tubulointerstitial injury in CKD.</jats:p

The Key Candidate Genes in Tubulointerstitial Injury of Chronic Kidney Diseases (CKD) Patients as Determined by Bioinformatic Analysis

Abstract Background: Tubulointerstitial injury (TIL) is common in chronic kidney disease (CKD), which in turn, leads to loss of renal function. The aims of present study were to screen critical genes with tubulointerstitial lesion in CKD by weighted gene correlation network analysis (WGCNA). Methods: GSE104954 gene expression data downloaded from GEO database were used for analysis for differential expression genes(DEGs); Meanwhile, 90 expression data of tubulointerstitial samples in GSE47185 combined with clinic information were applied to WGCNA. According to the enrichment analysis and relationship with estimated glomerular filtration rate (eGFR), the eGFR-associated modules were defined, and the hub gene is selected according to the average intramodular connectivity (Kwithin); Clinical data from Nephroseq were obtained to further validate the relationship between CKD and hub genes. Results: Totally 294 DEGs were screened. Using the WGCNA, we identified 15 co-expressed modules, the blue, brown and yellow modules exhibited strongly association with eGFR, and were significantly enriched in several signaling pathways that have been reported involved in pathogenesis of CKD. Furthermore, it was found that the 4 genes (PLG, ITGB2, CTSS and CCL5) was one of the DEGs which also be identified as hub genes according to Kwithin. Finally, the Nephroseq online tool showed that the tubulointerstitial expression levels of PLG significantly positively correlated with the eGFR, while ITGB2, CTSS and CCL5 connected negatively to the eGFR. Conclusion: WGCNA is an efficient approach to system biology. By this procedure, the present study improved the understanding of the transcriptome status of renal tubulointerstitial injury in CKD.</jats:p