• International journal of advanced smart convergence
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• 제13권1호
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• pp.92-98
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• 2024

The current software industry has an emerging issue with natural language-based requirement specifications. However, the accuracy of such requirement analysis remains a concern. It is noted that most errors still occur at the requirement specification stage. Defining and analyzing requirements based on natural language has become necessary. To address this issue, the linguistic theories of Chomsky and Fillmore are applied to the analysis of natural language-based requirements. This involves identifying the semantics of morphemes and nouns. Consequently, a mechanism was proposed for extracting object state designs and automatically generating code templates. Building on this mechanism, I suggest generating natural language-based comic images. Utilizing state diagrams, I apply changes to the states of comic characters (protagonists) and extract variations in their expressions. This introduces a novel approach to comic image generation. I anticipate highly productive comic creation by applying software processes to Cartoon ART.

• Natural Product Sciences
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• 제11권3호
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• pp.127-130
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• 2005

This study was carried out to investigate inhibitory effect of extracts from root cortex of Paeonia suffruticosa on ${\alpha}-glucosidase$ (EC 3. 2. 1. 20) and postprandial hyperglycemia. Methanol extract and organic solvent (n-hexane, ethyl acetate, butanol, aqueous) fractions from the crude drug were determined for the inhibitory activities against maltase, sucrase and ${\alpha}-amylase$. The methanol extract from the crude drug strongly inhibited maltase (72%) and sucrase (76%) at the concentration of $100\;{\mu}g/ml$. Among the fractions examined, the ethyl acetate fraction from the natural plant drug showed potent inhibitory effects on maltase (85%) and sucrase (81%) at the concentration of $100\;{\mu}g/ml$. The ethyl acetate fraction from root cortex of Paeonia suffruticosa also exhibited significant reductions (21%) of blood glucose elevation in mice loaded with maltose.

• 한국염색가공학회지
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• 제15권6호
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• pp.47-54
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• 2003

To be dyed with cationic Berberine, the cotton fiber was modified with reactive anionic agent. The Berberine, a natural cationic colorant of pure yellow, is the major component of Amur Cork tree extract and also can be employed as a natural antimicrobial agent due to its characteristic of cationic quaternary ammonium salt. By LC/MS analysis, it became obvious that the Berberine was contained in Amur Cork tree extract as a major color component. The adsorption of the Berberine on the cotton fabrics pretreated with the anionic agent was greatly increased comparing to that of untreated fabric. Because the anionic agent was colorless, it did not cause unintended color change of the dyeings. The dyed fabric with the Berberine has strong antimicrobial activity showing 99.5% of reduction of bacteria against Staphylococcu aureus.

• Natural Product Sciences
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• 제17권4호
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• pp.261-266
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• 2011

During the process of screening for antioxidative effects of natural plants in Korea, by measuring the superoxide quenching activity, methanol extract of the whole plant, Galium verum var. asiaticum (Rubiaceae), was found to show potent antioxidant activity. Subsequent activity-guided fractionation of methanol extract of Galium verum var. asiaticum led to the isolation of five phenolic compounds. Using spectroscopic techniques, the chemical structures were elucidated as: caffeic acid (1), narcissin (2), rutin (3), luteolin-7-O-${\alpha}$-L-rhamnopyranosyl (1 ${\rightarrow}$ 2)-${\beta}$-D-glucopyranoside (4), and luteolin-7-O-${\beta}$-D-glucopyranoside (5). These compounds were isolated for the first time from this plant. Among them, compound 1 showed the most significant riboflavin-originated superoxide and xanthine-originated superoxide quenching activities. Compounds 3 and 4 exhibited mild superoxide quenching effects compared with vitamine C.

• 복식
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• 제52권2호
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• pp.91-101
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• 2002

In order to development of culture goods I made works with various color's silk fabrics dyed with water extract or methanol extract of plants. The Plants used for dyeing as dyeing material were indigo, safflower, amur cock tree, onion's Peel, citrus peel, mugwort, gromwell, sappan wood. Each of Plants were extracted by each of temperature and time. The mordants used for various color chanties are aluminium sulfate, cupric acetate mono hydrate, ferrous chloride. With fabrics of various color dyed like this I made works which give expression to an easy and natural image of the Korean nation of fabrics.

• 생약학회지
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• 제17권1호
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• pp.91-99
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• 1986

The single treatment of mice with steam distillate, non-volatile ether extract and methanol extract from mace (Arils of Myristica fragrans) caused a significant prolongation of hexobarbital-induced narcosis and increase in strychnine toxicity as well as a significant decrease in hepatic microsomal drug metabolizing enzyme activities. On 7 consecutive daily administrations, however, the duration of hypnosis was markedly shortened and significant increases in the hepatic enzyme activities were shown. With systematic fractionation by $SiO_2$ column chromatography of non-volatile ether fraction monitoring by animal tests a new lignan (mp $70{\sim}72^{\circ}$, MW 328, $[{\alpha}]^{20}_D+5.28$) was isolated as an active principle and its structure was elucidated as (2R, 3S)-1-(3,4-methylendioxyphenyl)-2,3 dimethyl-4-(4-hydroxy-3-methoxyphenyl) butane.

• Natural Product Sciences
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• 제24권2호
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• pp.82-87
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• 2018

Silymarin is the standardized extract from Silybum marianum which consists mainly of flavonoids and polyphenols. It is highly regarded for its hepatoprotective ability. Silybin B is a flavonolignan and one of the active components of silymarin. The content of silybin B in various parts of S. marianum was analyzed by HPLC-UV. Results show that the extract of seeds contain the highest amount of silybin B (7.434 mg/g DW). The petioles of S. marianum showed a low content of silybin B. This study revealed that seeds of S. marianum contain high amount of silybin B and could be a good source of the compound.

• 생약학회지
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• 제17권3호
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• pp.189-194
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• 1986

The single acute treatment of mice with the steam distillate, non-volatile ether extract and methanol extract from mace, arils of Myristica fragrans(Myristicaceae) caused a significant prolongation of hexobarbital-induced narcosis, an increase in strychnine toxicity as well as a significant decrease in hepatic microsomal drug metabolizing enzyme activities. On seven daily consecutive administrations, however, the duration of narcosis was markedly shortened and significant increases in the hepatic enzyme activities were shown. From the non-volatile ether fraction, macelignan, a new lignan, mp $70{\sim}72^{\circ}$ was isolated as an active principle.

• Natural Product Sciences
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• 제14권1호
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• pp.56-61
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• 2008

Bioactivity guided phytochemical study of the petroleum ether and butanol extracts of Clematis hirsuta resulted in the isolation of 12 compounds. Rat paw edema as a model of acute inflammation was used to evaluate the anti-inflammatory activity of the extracts and the chromatographic fractions. Five known sterols and triterpenes namely: ${\beta}-amyrin$ (1), lupeol (2), ${\beta}-sitosterol$ (3), oleanolic acid (4) and stigmasterol glycoside (5) were isolated from the petroleum ether extract. The n-butanol extract afforded two compounds reported for the first time from natural source: (S)-(+)-dihydro-5-(hydroxymethyl)-2(3H)-furanone (7) and (s)-(-)-5-hydroxymethyl-2(5H)-furanone (8). In addition, anemonin (6), dihydro-4-hydroxy-5-(hydroxymethyl)-2(3H)-furanone (2-deoxy-D-ribono-1,4-lactone) (9), biophenol (cimidahurin) (10), glucose (11) and sucrose (12) were also identified. The structures were determined from spectroscopic data including 1D- and 2D-NMR experiments.

• Journal of information and communication convergence engineering
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• 제17권4호
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• pp.239-245
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• 2019

Recently, effort to obtain various information from the vast amount of social network services (SNS) big data generated in daily life has expanded. SNS big data comprise sentences classified as unstructured data, which complicates data processing. As the amount of processing increases, a rapid processing technique is required to extract valuable information from SNS big data. We herein propose a system that can extract human sentiment information from vast amounts of SNS unstructured big data using the naïve Bayes algorithm and natural language processing (NLP). Furthermore, we analyze the effectiveness of the proposed method through various experiments. Based on sentiment accuracy analysis, experimental results showed that the machine learning method using the naïve Bayes algorithm afforded a 63.5% accuracy, which was lower than that yielded by the NLP method. However, based on data processing speed analysis, the machine learning method by the naïve Bayes algorithm demonstrated a processing performance that was approximately 5.4 times higher than that by the NLP method.