• Toxicological Research
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• 제25권1호
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• pp.41-45
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• 2009

This study was conducted to monitor the level of bifenthrin residues in pear sprayed with 2% bifenthrin wettable powder (WP) at the recommended rate at four different schedules prior to harvest. The target analyte was extracted with acetone, partitioned into dichloromethane, and then purified by florisil chromatographic column. The residue determination was performed on a DB-5 capillary column using GC with electron capture detector (ECD). Linearity of this method was quite good ($r^2$ = 0.9951) in the concentration ranged from 0.2 mg/kg to 10 mg/kg. Recovery test was carried out at two concentration levels, 0.2 mg/kg and 1.0 mg/kg, in three replicates, and their rates were from 82.9% to 107.2%. No quantitative bifenthrin was detected in pear of all kinds of treatments including the treatment sprayed 4 times until 7 days before harvest. This sensitive and selective method can be used to monitor the trace residual amounts of bifenthrin in pear in a quite low concentration level.

• 한국식품과학회지
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• 제6권1호
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• pp.1-5
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• 1974

The extraction mode of orange-yellow pigment from Gardenia is depended upon the extraction time, extraction temperature and volume of solvent. The amounts of the extracted-pigment (C) is proportional to the log ${\theta}^{1.15}$ of extraction time $({\theta}:0{\cdots}{\cdots}{\cdots}60$ min.), the log $T^{3.73}$ of extraction temperature $(T:5{\cdots}{\cdots}{\cdots}60^{\circ}C)$ and the log $S^{3.7}$ of volume of solvent $(S:5{\cdots}{\cdots}{\cdots}50ml)$ at $18^{\circ}C$ for 10 minutes. Finally, the general emperical equation was derived as follows; C=1.15 log ${\theta}$+3.73 log T+3.7 log S-7.0

• Food Science and Biotechnology
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• 제15권3호
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• pp.341-346
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• 2006

This study was performed to examine the effects of ${\gamma}$-irradiation on the volatile flavor compounds of dried leeks (Alliums tuberosum R.). Volatile compounds of dried leeks were extracted using simultaneous steam distillation and extraction (SDE), and analyzed by gas chromatography/mass spectrometry (GC/MS). Forty-one, 51, 45, and 42 compounds were tentatively identified in control, 1, 3, and 10 kGy irradiated samples, respectively. The constituents of flavor compounds in irradiated dried leeks were similar to non-irradiated samples. However, the intensities of the peaks were clearly different between them. Sulfur-containing compounds were detected as dominant compounds in all samples and their amounts decreased after ${\gamma}$-irradiation. ${\gamma}$-Irradiation reduced the total concentration of volatile compounds from leeks by 23.19, 15.09, and 30.23% at 1, 3, and 10 kGy doses, respectively.

• 한국정보시스템학회지:정보시스템연구
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• 제29권4호
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• pp.137-151
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• 2020

Purpose Domestic asset management fintech companies are expected to grow by leaps and bounds along with the implementation of the "Data bills." Contrary to the market fever, however, academic research is insufficient. Therefore, we want to analyze user reviews of asset management fintech companies that are expected to grow significantly in the future to derive strengths and complementary points of services that have been provided, and analyze key elements of asset management fintech companies. Design/methodology/approach To analyze large amounts of review text data, this study applied text mining techniques. Bank Salad and Toss, domestic asset management application services, were selected for the study. To get the data, app reviews were crawled in the online app store and preprocessed using natural language processing techniques. Topic Modeling and Aspect-Sentiment Analysis were used as analysis methods. Findings According to the analysis results, this study was able to derive the elements that asset management fintech companies should have. As a result of Topic Modeling, 7 topics were derived from Bank Salad and Toss respectively. As a result, topics related to function and usage and topics on stability and marketing were extracted. Sentiment Analysis showed that users responded positively to function-related topics, but negatively to usage-related topics and stability topics. Through this, we were able to extract the key elements needed for asset management fintech companies.

• 분석과학
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• 제20권4호
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• pp.315-322
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• 2007

본 연구는 1명의 건강한 성인남자로부터 pseudoephedrine과 dextromethorphan 복합제제 약물의 복용 후 24시간동안 배설된 소변을 채취하여 이들 혼합약물의 대사과정과 배설에 관하여 연구를 수행 하였다. 소변 중에 약물과 대사체의 검출을 위하여 가수분해 및 추출과정을 거쳐 MSTFA와 MBTFA를 사용하여 유도체 반응 후 GC-MS로 동시 분석을 수행하였다. 각 대사체는 질량스펙트럼의 해석을 통하여 구조가 규명되었으며, 시간에 따른 모 약물과 대사체의 배설율을 조사하였으며, 본 실험결과로부터 pseudoephedrine과 dextromethorphan의 체내 대사경로를 제안하였다.

• 한국식품영양학회지
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• 제37권4호
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• pp.197-210
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• 2024

This study aims to develop a deep learning model to monitor rice serving amounts in institutional foodservice, enhancing personalized nutrition management. The goal is to identify the best convolutional neural network (CNN) for detecting rice quantities on serving trays, addressing balanced dietary intake challenges. Both a vanilla CNN and 12 pre-trained CNNs were tested, using features extracted from images of varying rice quantities on white trays. Configurations included optimizers, image generation, dropout, feature extraction, and fine-tuning, with top-1 validation accuracy as the evaluation metric. The vanilla CNN achieved 60% top-1 validation accuracy, while pre-trained CNNs significantly improved performance, reaching up to 90% accuracy. MobileNetV2, suitable for mobile devices, achieved a minimum 76% accuracy. These results suggest the model can effectively monitor rice servings, with potential for improvement through ongoing data collection and training. This development represents a significant advancement in personalized nutrition management, with high validation accuracy indicating its potential utility in dietary management. Continuous improvement based on expanding datasets promises enhanced precision and reliability, contributing to better health outcomes.

• Asia pacific journal of information systems
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• 제34권2호
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• pp.565-584
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• 2024

More than 1 million automobile insurance repairs occur per year globally, and the related repair costs add up to astronomical amounts. Insurance companies and repair shops are spending a great deal of money on manpower every year to claim reasonable insurance repair costs. For this reason, promptly predicting insurance claims for vehicles in accidents can help reduce social costs related to auto insurance. Several recent studies have been conducted in auto insurance repair prediction using variables such as photos of vehicle damage. We propose a new model that reflects auto insurance repair characteristics to predict auto insurance repair claims through an association rule method that combines gradient descent and location information. This method searches for the appropriate number of rules by applying the gradient descent method to results generated by association rules and eventually extracting main rules with a distance filter that reflects automobile part location information to find items suitable for insurance repair claims. According to our results, predictive performance could be improved by applying the rule set extracted by the proposed method. Therefore, a model combining the gradient descent method and a location-based association rule method is suitable for predicting auto insurance repair claims.

• 한국광물학회지
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• 제26권2호
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• pp.129-138
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• 2013

최근 들어 안정된 수자원 확보를 위해 하천수를 강변의 충적층을 통과시켜 취수하는 강변 여과수 개발이 각광을 받고 있다. 지표수 및 지하수와 반응하는 주변 충적층 퇴적물에 존재하는 철은 강변 여과 후 양수정을 통해 얻어지는 지하수의 수질을 결정하는 데 매우 중요한 요소이다. 본 연구에서는 퇴적물-지하수-지표수의 상호 작용에 의한 철 화학종의 존재 변화를 알아보기 위해 창원시 대산면 낙동강변의 강변여과 부지에서 채취한 대수층 퇴적물 내에 존재하는 철 함유량을 퇴적물 심도 및 입자 크기에 따라 다양한 화학적 철 추출법을 통해 비교하였다. 실험 결과는 전체적으로 지표로부터 20 m 부근까지는 2가철 및 총 철 함량이 전체적으로 감소하다 20 m 깊이 이하에서는 증가하는 경향을 나타내었다. 이러한 결과는 육안으로 관찰되는 퇴적물 색깔이 지시하는 산화/환원 환경 특성과도 일치하였다. 한편, 퇴적물의 모래 부분보다 미사/점토 부분에서 추출법에 따라 2~10배의 철이 추출되었다. 그리고, 다양한 추출법 중 DCB 용액에 의해 가장 많은 철이 추출되었다. 이와 같은 다양한 철 분석법으로 추출되는 철 함량 특성은 퇴적물 내에서 철의 용해 및 침전을 결정짓는 심도에 따른 산화/환원 조건의 좋은 지시자로 활용될 수 있을 것으로 판단된다.

• 대한가정학회지
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• 제30권4호
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• pp.77-88
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• 1992

To investigate the oxidative stabilities of the ${\gamma}$-ray irradiated soybean during storage and heating and some physico-chemical characteristics of soybean and the extracted soybean oil (SBO) with/without the ${\gamma}$-ray irradiation were determined. The ${\gamma}$-ray level use in irradiation for soybean were 2.5, 5.0 and 10.0 KGY respectively and Acid Value, Peroxide Value, Conjugated Diene Value, Composed Fatty Acids amounts, and Trans Fatty Acid occurrence were determined for all samples, which were incubated at 45$\pm$1$^{\circ}C$ for 25 days heated at 180$\pm$1$^{\circ}C$ for 30 hours. And these values of the ${\gamma}$-ray treated samples were compared to those of nontreated samples. The results were obtained as follows : 1. According to the increased level of the ${\gamma}$-ray irradiation, there was little difference in Dielectric Constant, Viscosity, and the Induction Period by Rancimat. But, in case of 5.0 KGY, oxidative stability was increased more twice than that of non-irradiation. In the quantity of fatty Acids composition of the extracted soybean oil irradiated with 10.0 KGY, palmitic, oleic and linoleic acids were less increased thanb those of non-irradiation, while stearic, linolenic acids were decreased. In the case of 2.5 KGY irradiation, stearic and oleic acids were increased. 2. The Acid Value of SBO according to the ${\gamma}$-ray irradiation level was almost not change, but was 0.1 lower than that of non-irradiation during incubation (45$\pm$1$^{\circ}C$). The Peroxide Value of SBO with the ${\gamma}$-ray irradiation, was very lower than that of non-irradiation, but its effect on oxidative stability was better of SBO treated with 5.0 KGY and 10.0 KGY. In the Fatty Acids composition of SBO, palmitic, stearic, oleic acids were increased, while linoleic, linolenic acids were decreased during incubation(45$\pm$1$^{\circ}C$). This tendency was more obvious due to the ${\gamma}$-ray level. While heating(180$\pm$1$^{\circ}C$), the Acid Value of SBO treated with the ${\gamma}$-ray irradiation was decreased, the Acid Value of SBO irradiated with 2.5 KGY was the lowest. Also the peroxide Values of SBO treated with 5.0 KGY, 10.0 KGY were very lower than that of non-irradiation. Conjugated Diene Value of SBO was almost unchanged according to the ${\gamma}$-level and heating time. 3. When the methyl linoleate was irradiated with the ${\gamma}$-ray, the Trans Fatty Acid was little produced. In case of SBO with non-irradiation, the trans C18:1 was occured about 6.5~7.9%, but trans C18:2 and C18:3 were not shown, while SBO irradiated with the ${\gamma}$-ray 2.5, 5.0, 10.0 KGY, trans C18:3 and C18:2 amount in SBO were increased according to heating time, but trans C18:3 was little occured. As these results, the effects of the ${\gamma}$-ray irradiation to oil containing food were to cut down the energy for food storage and to increase oxdative stability during storge. And also it was shown to be the best that 10.0 KGY of the ${\gamma}$-ray irradiation would be applied to soybean.

• 분석과학
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• 제24권1호
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• pp.38-44
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• 2011

본 연구는 제주지역에서 생산되는 세 종류의 물과 서울지역에서 사용되고 있는 수돗물 등 네 종류의 물을 전탕용수로 하여 중요 한약재인 대황으로부터 활성성분을 추출하고 용수 중의 미네랄이 대황활성성분 추출에 미치는 효과에 대하여 비교 분석하였다. 유도결합플라즈마방출분광기와 유도결합플라즈마질량분석기를 이용하여 30여종의 미네랄과 다수의 음이온을 분석하였다. 각 전탕용수로 대황을 추출하고 그 추출액의 일부를 증발시켜 총 추출량을 구하고, 또한 HPLC를 이용하여 추출액으로부터 대황의 생리활성 성분을 분석하였다. 용수 간 총 추출량과 대황 성분함량의 차이 검정을 위하여 Kruskal-Wallis 검정을 시행하였고, 미네랄, 음이온, 총 추출량 및 성분함량과의 관계분석을 위하여 다중요인분석을 시행하였다. 분석결과 용수 중의 미네랄 함량은 대황의 총 추출량 및 성분 추출량과 높은 상관관계가 있는 것으로 나타났다.