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      • PHOTOCHEMISTRY AND PHOTOBIOLOGY OF PSORALENS

        Shim, Sang-Chul,Jeon, Young Hee,Kim, DongWon,Han, GyuSeok,Yoo, Dong Jin Korean Society of Photoscience 1995 Journal of Photosciences Vol.2 No.1

        INTRODUCTION : Psoralens are planar tricyclic furocoumarins present in numerous plants and fungi found throughout the world.' Naturally occurring and synthesized psoralen derivatives(see Figure 1) are photosensitizers of UVA especially from 320 nm to 400 nm, a range at which cellular nucleic acids and proteins are weakly absorbing if any at all. Because of their skinphotosensitizing properties, these compounds have been used in the photochemotherapy of psoriasis and vitiligo. However, undesirable side effects such as carcinoma development in hairless mice as well as possible liver damage from the use of 8-methoxypsoralen(8-MOP) have been reported. The other photobiological effects include inactivation of DNA viruses, killing and mutagenesis of bacteria, inhibition of tumor transmitting capacity of various cells, and hyperpigmentation on human and guinea pig skin. PUVA(psoralen+UVA) photochemotherapy is in fact thousands of years old, having been used in Egypt and India since B.C. 1200-2000. Photochemotherapy for a common disfiguring disease, vitiligo, was practiced in the ancient world by physicians and herbalists who used boiled extracts of the fruits of certain umbelliferous plants, e.g. Ammi majus Linnaeus in Egypt or the leguminous plants, Psoralea corylifolia L. in India. It was first described by Kuske in 19388 that photosensitization of skin by plants was related to the presence of psoralen. He identified natural psoralens in plants as photosensitizers and isolated bergapten(5methoxypsoralen) from the oil of bergamot. The scientific interest in photosensitizing psoralens, however, has grown considerably after the introduction into clinics of the psoralen photochemotherapy for the treatment of psoriasis and of other skin (abbreviation)

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        A Stigmergy-and-Neighborhood Based Ant Algorithm for Clustering Data

        Heesang Lee,Gyuseok Shim 한국경영과학회 2009 Management Science and Financial Engineering Vol.15 No.1

        Data mining, specially clustering is one of exciting research areas for ant based algorithms. Ant clustering algorithm, however, has many difficulties for resolving practical situations in clustering. We propose a new grid-based ant colony algorithm for clustering of data. The previous ant based clustering algorithms usually tried to find the clusters during picking up or dropping down process of the items of ants using some stigmergy information. In our ant clustering algorithm we try to make the ants reflect neighborhood information within the storage nests. We use two ant classes, search ants and labor ants. In the initial step of the proposed algorithm, the search ants try to guide the characteristics of the storage nests. Then the labor ants try to classify the items using the guide information that has set by the search ants and the stigmergy information that has set by other labor ants. In this procedure the clustering decision of ants is quickly guided and keeping out of from the stagnated process. We experimented and compared our algorithm with other known algorithms for the known and statistically-made data. From these experiments we prove that the suggested ant mining algorithm found the clusters quickly and effectively comparing with a known ant clustering algorithm.

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