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It is a basic and challenging task to identify important nodes in hypernetworks, and the related research is of great value for further analysis of network topology and functional characteristics. In order to break through the limitations of the existing important node recognition methods, an important node recognition method based on node propagation entropy is proposed by using hypergraph and information entropy theory. This method takes into account both local and global topology information of nodes, uses the node clustering coefficient and the number of neighbors to represent the local propagation influence of node information, the global influence of the node information is reflected by the shortest path between nodes and K-shell centrality, and fully considers the influence of nodes and their neighbors, the importance of nodes in the network is represented by the size of node propagation entropy finally. Using monotonicity, robustness and SIR propagation model evaluation criteria, compared with other methods on six real networks from different fields, experimental results show that the proposed method can identify the important nodes in the hypernetwork accurately and effectively. [ABSTRACT FROM AUTHOR]

Objective: To analyze the characteristics of skeletal muscle cells gene markers in septic patients by using bioinformatics., Methods: The differential gene expression of marker microarrays (GSE13205) in skeletal muscle tissue of patients with sepsis was obtained from gene expression omnibus (GEO) database of National Center for Biotechnology Information (NCBI). Gene differential expression analysis was carried out using online GEO2R provided by NCBI. Data processing, analysis and mapping were carried out using online bioinformatics array research tool (BART) and Cytoscpe software, the software of the national resource for network biology. Functional annotation and pathway analysis of differential expression genes were performed using Kyoto encyclopedia of genes and genomes (KEGG) and gene ontology (GO) provided by the database for annotation, visualization and integrated discovery (DAVID), and protein interaction analysis was further performed in search tool for the retrieve of interacting genes/proteins (STRING-DB)., Results: The TOP250 genes were extracted from the GSE13205 dataset. A total of 242 differentially expressed genes were included in the analysis. Among them, 78 up-regulated genes and 164 down-regulated genes were identified. After extensive data analysis, these differentially expressed genes were enriched into different biological processes or subsets of molecular functions, mainly enriched in the positive and negative regulation of growth, mineral absorption and other pathways. The 14 most closely related genes among differentially expressed genes were identified from the protein interaction network., Conclusions: The differential expression genes in patients with sepsis were mainly concentrated on cell growth and apoptosis and mediating tumor-related immune function regulation.

Base on the data from fishery resources survey carried out in northern coastal waters in Yuhuan in November 2016 (autumn) and April 2017 (spring), we examined the niche and interspecific associations of major nekton by the methods of index of relative importance (IRI), niche breadth, niche overlap, the variance ratio (VR), X 2 -test, association coefficient (AC), Jaccard index (JI), point correlation coefficient (Φ) and Spearman rank correlation index. The ecological niche breadth of Portunus trituberculatus was the largest, with the absolute competitive advantage. The niche breadths of the important economic species Coilia nasus and Octopus variabilis were the smallest, which was at a weak competitive position. The niche overlap of the major nekton species in this area was uneven, possibly caused by the diversity of local environments. Overall interspecific associations indicated that insignificant negative correlation existed among major nekton species. All results of the X 2 -test, association coefficient (AC) and Jaccard index (JI) were consistent with that of overall interspecific associations, which indicated the independent trend among species. The correlation coefficients (Φ) and the Spearman rank correlation index revealed that the positive coupling pairs were more than the negative ones. It was due to the positive association among the other 14 species, caused by the spatial exclusion from large captured individuals of Muraenesox cinereus. According to the Spearman rank correlation and cluster analysis, 15 species could be divided into five ecological groups. The species within one ecological group had similar ecologically adaptable requirements of habitat, while the species from different ecological groups had different living habits and different ecological requirements.

The studies about the niche and interspecific association in China were mainly focused on the plants, birds and marine animals, and seldom on fish. Based on the fishery resources survey in spring (May) and autumn (September) in 2015, the associations among major fish species in south coastal waters of Wenzhou were investigated. The methods including niche breadth, niche overlap, variance ratio (VR), Χ 2 -test, association coefficient (AC), percentage of co-occurrence (PC) and point correlation coefficients (Ф) were used. The results showed that 47 fish species were identified, including 9 orders, 27 families and 41 genera. Four species were dominant species and 9 were important species, which together accounted for 17%. The niche breadth cluster analysis demonstrated two clearly identifiable ecological niches. The first one referred to wide niche that included Harpodon nehereus, Collichthys lucidus, Engraulis japonicas, Pampus echinogaster, Argyrosomus argentatus, Polynemus sextarius, Decapterus maruadsi and Trichiurus haumela, and the second one was narrow niche that included Muraenesox cinereus, Amblychaeturichthys hexanema, Cunoglossus robustus, Pseudosciaena polyactis and Ilisha elongate. The niche overlap value of the main fish was 0-0.90, indicating that there was difference in the resource utilization among the species. The ecological niche widths of C. robustus and M. cinereus were narrow, and the overlap values were high. This indicated that there was competition between these two species. The VR analysis revealed significant positive correlation among the main fish species. In view of the advantages of Ф value, which could reduce the impact of the analysis results of Χ 2 -test, AC and PC to the interspecific association, the Ф value method was selected in this study, and the association of 63 couples were positive. Both the interspecific association and ecological niche had different degrees of correlation with the stability of community structure and community succession.

A high-resolution, multi-line spectroscopic diagnostic system was used to detect two spectral line intensities in plasma jet simultaneously. The temperature profiles of an arc plasma jet issued into atmosphere and the concentrations of the air engulfment in the plasma jet were experimentally determined by means of the line absolute intensity method in this paper. The temperature profiles were obtained in two cases: the air engulfment in the plasma jet being considered and not being considered. The comparison of temperatures obtained in these two cases illustrates that the air engulfment in the plasma jet has considerable influence on spectroscopic diagnostic results. The neglect of the air engulfment brings on error in the temperature diagnostics with the absolute line intensity method. Especially in the region far away from the exit of the nozzle, the error is obvious.

The turbulence phenomenon is one of the most attractive characteristics of a DC arc plasma spraying jet. Most of the previous investigations believe that there is a laminar flow region in core of the jet. A spectrum diagnostic system has been built up in this paper to investigate these effects with the aid of high-speed digital camera. The FFT method has been applied to the analysis on the arc voltage and light signals. The influence of the arc behavior and the power supply on the jet is full-scale. It seems that there is not a laminar flow region in core of the jet. Moreover, from the light dynamic variation graph, the jet fluctuation due to the arc voltage behavior maybe is the dominant characteristic of the jet behavior.