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The Antiproliferation Activity of Ganoderma formosanum Extracts on Prostate Cancer Cells
( Cheng-yen Chiang ),( Kai-di Hsu ),( Yen-yi Lin ),( Chang-wei Hsieh ),( Jui-ming Liu ),( Tze-ying Lu ),( Kuan-chen Cheng ) 한국균학회 2020 Mycobiology Vol.48 No.3
Androgen-independent prostate cancer accounts for mortality in the world. In this study, various extracts of a medical fungus dubbed Ganoderma formosanum were screened for inhibition of DU145 cells, an androgen-independent prostate cancer cell line. Results demonstrated that both hexane (GF-EH) and butanol (GF-EB) fraction of G. formosanum ethanol extract inhibited DU145 cell viability in a dose-dependent manner. GF-EH induced cell-cycle arrest in G1 phase of DU145 cells via downregulation of cyclin E2 protein expression. In addition, GF-EB triggered extrinsic apoptosis of DU145 cells by activating caspase 3 gene expression resulting in programed cell death. Above all, both GF-EH and GF-EB show lower toxicity to normal human fibroblast cell line compared to DU145 cell, implying that they possess specific drug action on cancer cells. This study provides a molecular basis of G. formosanum extract as a potential ingredient for treatment of androgen-independent prostate cancer.
Enhanced Regular Expression as a DGL for Generation of Synthetic Big Data
Kai Cheng,Keisuke Abe 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.1
Synthetic data generation is generally used in performance evaluation and function tests in data-intensiveapplications, as well as in various areas of data analytics, such as privacy-preserving data publishing (PPDP)and statistical disclosure limit/control. A significant amount of research has been conducted on tools andlanguages for data generation. However, existing tools and languages have been developed for specificpurposes and are unsuitable for other domains. In this article, we propose a regular expression-based datageneration language (DGL) for flexible big data generation. To achieve a general-purpose and powerful DGL,we enhanced the standard regular expressions to support the data domain, type/format inference, sequence andrandom generation, probability distributions, and resource reference. To efficiently implement the proposedlanguage, we propose caching techniques for both the intermediate and database queries. We evaluated theproposed improvement experimentally.
Feature-based image stitching for panorama construction and visual inspection of structures
Kai Cheng,Jiazeng Shan,Yuwen Liu 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.5
This study presents a feature-based image stitching method with multi-level constraint criterion for panorama construction and visual inspection of building structures. The comparison of global view and local resolution over building exterior is discussed regarding practical implementation. An inspection-oriented methodology framework with optimized inlier distribution is designed for generating a feasible and reliable building panorama by using ordinary optic images. Two illustrative examples, including an earthquake-damaged masonry wall and a high-rise building with stone curtain walls, are experimentally investigated. The severely developed structural crack is fully mapped with stitched image and extracted in preparation for further quality evaluation. The curtain wall of the high-rise building is successfully constructed by using UAV-based images. The panorama quality is further compared with commercial stitching software and several improvements are illustrated in the particular case. In addition, the reliability of the proposed feature-based stitching approach is parametrically studied with different setups of input images.