• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.2
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• pp.182-187
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• 2006

This paper proposes a method for boundary recognition of named entity using hidden markov model and ontology information of biological named entity. We uses smoothing method using 31 feature information of word and hierarchical information to alleviate sparse data problem in HMM. The GENIA corpus version 2.1 was used to train and to experiment the proposed boundary recognition system. The experimental results show that the proposed system outperform the previous system which did not use ontology information of hierarchical information and smoothing technique. Also the system shows improvement of execution time of boundary recognition.

• Biomedical Science Letters
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• v.28 no.1
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• pp.34-41
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• 2022

In this study, conditions for extraction of functional component from Nypa fruticans wurmb was optimized. The yield by extraction with 30% ethanol (LE30, 42.12%) was higher than those hot water extraction (LDW 33.32%), 50% ethanol (LE50, 40.12%) and 70% ethanol (LE70, 34.5%). The extract was purified and analyzed by GC MS. The prevailing compounds found in extract were Cyclodecasiloxane-, pentadecanoic acid, -eicosane, undecanal and tridecanoic acid. The presence of saturated and unsaturated fatty acids in ethanolic extract vindicate the use of this plant to treat many diseases in traditional medicine. The total phenolic contents in the LDW, LE30, LE50, LE70 extract were 128±1.65 mg/g, 205±2.3 mg/g, 210±4.23 mg/g and 180±5.6 mg/g, respectively. The DPPH was highest in LE70 extract (1,000 ㎍/mL, 81.14%), ABTS was highest in LE50 extract (1,000 ㎍/mL, 84.14%). The protective effects against oxidative stress in raw 264.7 cell imparted by the LE50 extract was better than those imparted by the other extracts. The findings of the present study suggest that 50% ethanol is best solvent for extraction of Nypa fruticans Wurmb, considering yield, polyphenol content, and antioxidant activities with extraction cost.