• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.205-220
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• 2023

This study aimed to analyze the needs and interests of the public on endangered wildlife using complaint big data. We collected 1,203 complaints and their corresponding text data on endangered wildlife, pre-processed them, and constructed a document-term matrix for 1,739 text data. We performed LDA (Latent Dirichlet Allocation) topic modeling and network analysis. The results revealed that the complaints on endangered wildlife peaked in June-August, and the interest shifted from insects to various endangered wildlife in the living area, such as mammals, birds, and amphibians. In addition, the complaints on endangered wildlife could be categorized into 8 topics and 5 clusters, such as discovery report, habitat protection and response request, information inquiry, investigation and action request, and consultation request. The co-occurrence network analysis for each topic showed that the keywords reflecting the call center reporting procedure, such as photo, send, and take, had high centrality in common, and other keywords such as dung beetle, know, absence and think played an important role in the network. Through this analysis, we identified the main keywords and their relationships within each topic and derived the main issues for each topic. This study confirmed the increasing and diversifying public interest and complaints on endangered wildlife and highlighted the need for professional response. We also suggested developing and extending participatory conservation plans that align with the public's preferences and demands. This study demonstrated the feasibility of using complaint big data on endangered wildlife and its implications for policy decision-making and public promotion on endangered wildlife.

• Journal of Life Science
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• v.32 no.1
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• pp.23-28
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• 2022

CopA3 (LLCIALRKK), an antimicrobial peptide isolated from the Korean dung beetle, has been shown to suppress apoptosis in various cell types. CopA3 inhibits not only bacterial toxin-induced colonocyte apoptosis but also 6-hydroxy dopamine-induced neural cell apoptosis. Our recent study revealed that CopA3 directly binds to caspases (key regulators of apoptosis) and inhibits the proteolytic cleavage required for their activation. But molecular mechanisms underlying CopA3-mediated inhibition of apoptosis in multiple cell types remain unknown. Here we assessed possible effects of CopA3 on expression of survivin, which is known to inhibit apoptosis. In HT29 human colonocytes, CopA3 exposure markedly upregulated survivin expression in a concentration- and time-dependent manner. RT-PCR revealed that CopA3-mediated upregulation of survivin was attributable to increased gene transcription, and further showed that CopA3 also increased expression of Sp1, one of many transcription factors known to be involved in transcription of the survivin gene. Notably, blocking Sp1 by treatment with the Sp1 inhibitor, tolfenamic acid, significantly reduced CopA3-mediated upregulation of survivin. These results collectively suggest that CopA3 induces Sp1 expression, which in turn is involved in upregulation of survivin in human colonocytes. These novel findings establish another pathway for explaining the anti-apoptotic effects of CopA3 against various cellular apoptosis systems.