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Centrality Degree, Opinion Leadership, and WOM of Nodes in Social Network Sites
DeKui Li,ByungKook Ha,JeeHee Cho 한국경영정보학회 2011 한국경영정보학회 학술대회논문집 Vol.2011 No.1
The WOM (Word-of-Mouth) is uncertain and uncontrollable, so marketers' interest turns to managing personal network in hope of managing WOM. In this regard, opinion leadership and social network analysis have become pivotal issues of WOM management. Central nodes, members having direct contacts with a great number of other members, play an important role in the WOM transmission as they can widely circulate information. Centrality degree, the counting of contacts of a node, is a sociometric technique used as a proxy for opinion leadership in lieu of a self-report method. In this paper, we have two purposes. First, we introduce two variables, centrality degree and prominence degree to jointly identify the true opinion leaders. While the centrality degree indicates the coverage capacity of opinion leaders, the prominence degree signifies the quality that the observed individuals' ideas and opinions are sought. Second, we attempt to reveal the behavior of opinion leaders regarding the WOM diffusion in that they generate as much NWOM as PWOM, as an evident of their unbiased opinion provisions.
Antimicrobial and Cytotoxic Activity of Endophytic Fungi from Lagopsis supina
Zhang Dekui,Sun Weijian,Xu Wenjie,Ji Changbo,Zhou Yang,Sun Jingyi,Tian Yutong,Li Yanling,Zhao Fengchun,Tian Yuan 한국미생물·생명공학회 2023 Journal of microbiology and biotechnology Vol.33 No.4
In this study, five endophytic fungi belonging to the Aspergillus and Alternaria genera were isolated from Lagopsis supina. The antimicrobial activity of all fungal fermented extracts against Staphylococcus and Fusarium graminearum was tested using the cup-plate method. Among them, Aspergillus ochraceus XZC-1 showed the best activity and was subsequently selected for large-scale fermentation and bioactivity-directed separation of the secondary metabolites. Four compounds, including 2- methoxy-6-methyl-1,4-benzoquinone (1), 3,5-dihydroxytoluene (2), oleic acid (3), and penicillic acid (4) were discovered. Here, compounds 1 and 4 displayed anti-fungal activity against F. graminearum, F. oxysporum, F. moniliforme, F. stratum, Botrytis cinerea, Magnaporthe oryzae, and Verticillium dahliae with diverse MIC values (128–512 μg/ml), which were close to that of the positive control antifungal, actidione (64–128 μg/ml). Additionally, compounds 1 and 4 also exhibited moderate antibacterial activity against S. aureus, Listeria monocytogenes, Escherichia coli, and Salmonella enterica, with low MIC values (8–64 μg/ml). Moreover, compounds 1 and 4 displayed selective cytotoxicity against cancer cell lines as compared with the normal fibroblast cells. Therefore, this study proposes that the endophytic fungi from L. supina can potentially produce bioactive molecules to be used as lead compounds in drugs or agricultural antibiotics.
Food Security Sensor Management Based on RIHA
Zhehui Xiao,Dekui Li,Chinling Chen,Jinlong Zhang 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.11
The coming of information age makes the integrated electronic food security sensor management in industrial field face new challenges. This paper takes the security management food security sensor management of food industry the industrial area as the researching object, discussing the architecture of ASAAC standard food security sensor management, by means of a RSSI-based Information Hiding Algorithm (RIHA) analysis method, it puts forward ideas of assessment on the food security sensor management safety. And uses RSSI (Received Signal Strength Indication) as hidden information carrier and designs. It does not affect original data or bring additional communication cost. The simulation results show that RIHA has high hidden information transmission accuracy without bringing additional communication energy consumption.