• Journal of Information Science Theory and Practice
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• v.9 no.4
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• pp.15-34
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• 2021

Text clustering is one of the most commonly used methods for detecting themes or types of documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to be used for the understanding of Arabic text, especially with respect to terms extraction, unsupervised feature selection, and clustering algorithms. In most cases, terms extraction focuses on nouns. Clustering simplifies the understanding of an Arabic text like the text of the Quran; it is important not only for Muslims but for all people who want to know more about Islam. This paper discusses the complexity and limitations of Arabic text clustering in the Quran based on their themes. Unsupervised feature selection does not consider the relationships between the selected features. One weakness of clustering algorithms is that the selection of the optimal initial centroid still depends on chances and manual settings. Consequently, this paper reviews literature about the three major stages of Arabic clustering: terms extraction, unsupervised feature selection, and clustering. Six experiments were conducted to demonstrate previously un-discussed problems related to the metrics used for feature selection and clustering. Suggestions to improve clustering of the Quran based on themes are presented and discussed.

• Journal of Oral Medicine and Pain
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• v.20 no.2
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• pp.497-513
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• 1995

Human genomic Deoxyribonucleic acid(DNA) was extracted from teeth by boiling, salting-out, phenol, boiling-phenol methods. The author compared DNA concentration and its purity, the accuracy of sex determination and the results of the D1S80 locus detection among above 4 methods. The following results were obtained : 1. DNA concentration was the highest in pulp with salting-out method and DNA purity was higher in pulp with salting-out and phenol methods than other 2 methods. 2. Sex determination was possible using of the pulp and the dentin of the teeth with four methods but, it was impossible in the enamel and some pulp with boiling method. 3. Amplification of D1S80 locus occurred from pulp and dentin with salting-out, phenol, and boiling-phenol methods. 4. There are no differences among the amplification of X-Y homologus amelogenin gene by application of 4 methods and salting-out, phenol methods efficiently makes available to amplification of D1S80 locus. From the investigation DNA extraction, sex determination, amplification of D1S80 locus was successfully accomplished with salting-out, phenol, boiling-phenol methods Therefore above 3 methods are available and applicable as forensic odontology for individual identification.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.26 no.3
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• pp.307-316
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• 2016

Objectives: In general, NIOSH method 5506 is most widely used for the occupational exposure measurement of PAHs, but 2-4 ring PAHs have poor desorption efficiency, especially for a filter. The purpose of this study was to determine a method to increase the desorption efficiency of 16-PAHs using an ultrasonic extraction procedure. Methods: Test samples prepared spiked XAD-2 tubes and PTFE filters in the range of $0.01-1.0{\mu}g/mL$ for desorption efficiency study. Four different extraction solvents, acetonitrile, acetone, tetrahydrofuran and dichloromethane, were tested in order to select the most suitable solvent for the extraction of the 16 PAHs. The addition of dimethyl sulfoxide and sonication time were considered in order to determine the method with the highest extraction efficiency. All samples were made in three sets and analysis was replicated seven times by HPLC. Results: Acetonitrile and acetone were the optimized as an extraction solvent and desorption efficiency of 2-ring PAHs such as naphthalene, acenaphthylene were increased 3~19% with dimethyl sulfoxide for XAD-2. Acetone was the best extraction solvent for PTFE filter and the desorption efficiency was increased 3~13% for 2- to 4-ring PAHs. The optimum sonication time was 60 minutes and desorption efficiency increased with extraction time. Conclusions: As a result, the best extraction solvent was acetone with dimethyl sulfoxide for ultrasonic extraction procedure and the desorption efficiency of this method was better than NIOSH 5506's. This study could be applied as a method for occupational exposure measurement of PAHs.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.47 no.3
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• pp.190-196
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• 2021

Objectives: The risk of bleeding after tooth extraction in thrombocytopenia patients remains unclear. Therefore, the present study aimed to assess the risk of bleeding after tooth extraction in patients with thrombocytopenia. Materials and Methods: The study included 220 patients who had a medical history of thrombocytopenia and underwent tooth extraction (330 teeth). The patients were divided into those who had thrombocytopenia (platelet count <150k) immediately before the tooth extraction, and those who had platelet counts that were between 150k and 250k before the extraction. Bleeding complications were recorded and compared between the patient groups. Results: Of the 220 patients, 130 underwent tooth extractions while having thrombocytopenia (platelet count <150k), and 90 had platelet counts that were between 150k and 250k before tooth extractions. Bleeding complications occurred in 11 patients (5.0%) of the 220 patients. Among those 11 patients with bleeding complications, 10 patients (7.7%) had thrombocytopenia (platelet count <150k) of the 130 patients, and 1 patient (1.1%) had a normal platelet count of the 90 patients. There was a significant difference between the patient groups regarding bleeding after extractions (P<0.001). No significant difference in the incidence of post-extraction bleeding was found between the subgroups by platelet count within the thrombocytopenia group. Conclusion: Thrombocytopenia (platelet count <150k) increases the risk of post-tooth extraction bleeding. Therefore, bleeding control under the proper evaluation of hemostasis and performing delicate tooth extraction procedures using hemostatic plugs is necessary during the tooth extraction of patients with thrombocytopenia.

• The Korean Journal of Food And Nutrition
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• v.16 no.4
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• pp.372-378
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• 2003

The volatile components of cinnamon bark were extracted by using different isolation methods, simultaneous distillation extraction (SDE) and solid phase microextraction (SPME). Then the volatile components were analyzed by gas chromatography(GC) and mass selective detector(MSD). 30 compounds were identified in cinnamon bark. In SPME technique, several factors influencing the equilibrium of the aroma compounds between sample and SPME fiber was taken into account, including the kind of SPME fiber, extraction temperature and extraction time. Four different SPME fibers were tested, namely polydimethylsiloxane (PDMS), poly acrylate(PA), divinyl- benzene-carboxen-polydimethylsiloxane (DVB/CAR/PDMS) and carbowax/divinylbenzene(CW/DVB). Among these SPME fiber, PDMS coating fiber showed the best results. The profile of volatile compounds of cinnamon bark at different extraction temperature and extraction time were investigated by 100$\mu\textrm{m}$ PDMS fiber.

• The Korean Journal of Food And Nutrition
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• v.25 no.1
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• pp.181-187
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• 2012

Grifola frondosa has been used as an herbal medicine for the treatment of cancer, diabetes mellitus and high blood pressure. In this study, functional polysaccharide was obtained from Grifola frondosa using four different extraction methods: hot water(HwFP), homogenize(HgFP), acid(AcFP), and alkali(AlFP) extraction methods. The effects of these extracts on KB and HepG2 cell lines were then examined for any anti-cancer activity. Alkaline extraction produced a yield of 0.175% and the total sugar content of the extract was 54.97%. We were able to confirm that the polysaccharide extracts from the mushroom produce an anti-cancer effect. The cytotoxicity of AlFP and AcFP against HepG2 cells were 22.86% and 28.88%, respectively, and the cytotoxicity of AlFP against the KB cell lines was 47.76% at a concentration of 1,000 ${\mu}g/m{\ell}$. Therefore, these results suggest that the optimum method for extracting functional polysaccharides from G. frondosa is the alkali extraction method.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.41 no.1
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• pp.13-19
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• 2008

Malachite green (MG), a triphenylmethane dye, is carcinogenic, mutagenic, teratogenic, a respiratory toxin, and causes chromosomal fractures. It is not permitted for use as an aquaculture veterinary drug in a number of countries. Sensitive extraction methods for MG and leucomalachite green (LMG), which have long residence times in fish tissues, were developed. For LMG, the average recovery of liquid extraction (LE) ranged from 41.71 (yellowtail) to 71.60% (snakehead); the recovery of liquid-liquid extraction (LLE) was between 67.68 (yellowtail) and 83.68% (snakehead); and the average recovery of solid-phase extraction (SPE) ranged from 84.16 (yellowtail) to 92.92% (shrimp). The recovery of MG was less than 30% with SPE. However, the dye is found primarily as the colorless reduced leuco form in fish tissues.

• Korean Journal of Medicinal Crop Science
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• v.26 no.3
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• pp.233-239
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• 2018

Background: Inflammation plays an important role in various diseases, including ulcerative colitis, Behcet's disease, and rheumatoid arthritis. In this study, we investigated the anti-inflammatory effects of Morus alba L. extracts obtained using different extraction methods (water extraction or high temperature extraction) on RAW264.7 cells. Methods and Results: Extracts from the central part (including the heartwood, sapwood, cambiun, and phloem) and bark (including the periderm and cortex) of Morus alba L. were obtained using either water or high temperature extraction. The following extract were obtained: MA1, water extract from the central part of Morus alba L., MA2, high temperature extract from the central part of Morus alba L., MA3, water extract from the bark of Morus alba L., and MA4, high temperature extract from the bark of Morus alba L. None of these extracts was observed to be cytotoxic to RAW264.7 cells. The MA2 extract reduced the production of LPS-induced NO (nitric oxide), $PGE_2$ (prostaglandin $E_2$), $TNF-{\alpha}$, IL-6, and $IL-1{\beta}$ production in LPS-stimulated RAW264.7 cells. Conclusions: These results indicated that the inflammatory response was moderated by MA2. Treatment with MA2 could be used as a natural medicine for treating diseases involving inflammation. However, further experiments are required to determine how the high temperature extraction method alters the active ingredients in the extract and influences the anti-inflammatory effects of Morus alba L..

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.86-97
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• 2021

As mechatronic systems have various, complex functions and require high performance, automatic fault detection is necessary for secure operation in manufacturing processes. For conducting automatic and real-time fault detection in modern mechatronic systems, multiple sensor signals are collected by internet of things technologies. Since traditional statistical control charts or machine learning approaches show significant results with unified and solid density models under normal operating states but they have limitations with scattered signal models under normal states, many pattern extraction and matching approaches have been paid attention. Signal discretization-based pattern extraction methods are one of popular signal analyses, which reduce the size of the given datasets as much as possible as well as highlight significant and inherent signal behaviors. Since general pattern extraction methods are usually conducted with a fixed size of time segmentation, they can easily cut off significant behaviors, and consequently the performance of the extracted fault patterns will be reduced. In this regard, adjustable time segmentation is proposed to extract much meaningful fault patterns in multiple sensor signals. By considering inflection points of signals, we determine the optimal cut-points of time segments in each sensor signal. In addition, to clarify the inflection points, we apply Savitzky-golay filter to the original datasets. To validate and verify the performance of the proposed segmentation, the dataset collected from an aircraft engine (provided by NASA prognostics center) is used to fault pattern extraction. As a result, the proposed adjustable time segmentation shows better performance in fault pattern extraction.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.23-28
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• 2018

Recent approaches to Relation Extraction methods mostly tend to be limited to mention level relation extractions. These types of methods, while featuring high performances, can only extract relations limited to a single sentence or so. The inability to extract these kinds of data is a terrible amount of information loss. To tackle this problem this paper presents an Augmented External Memory Neural Network model to enable Global Relation Extraction. the proposed model's Global relation extraction is done by first gathering and analyzing the mention level relation extraction by the Augmented External Memory. Additionally the proposed model shows high level of performances in korean due to the fact it can take the often omitted subjects and objectives into consideration.