• Applied Biological Chemistry
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• v.35 no.3
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• pp.165-169
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• 1992

Two types of $endo-{\beta}-1,3-glucanases$ were purified from green malt and their basic characteristics were studied. Molecular weights of glucanase I and glucanase II were estimated, by electrophoresis, to be 35,000 and 28,000, respectively. Purified glucanase I and II showed the highest activity at pH $5.0{\sim}7.0$ and $5.0{\sim}8.0$, respectively. The optimal temperature of purified glucanase I and II was $40^{\circ}C$. Purified glucanase I and glucanase II were stable at $40^{\circ}$ for 60 min and at $50^{\circ}$ for 30 min. All enzymes were inactivited by $AgNO_3$ and $HgCl_2$ while those were not activated by various compounds tried. Km values of glucanase I and II were 1.03 mg/ml, 1.20 mg/ml, respectively.

• Journal of the Korean Society of Tobacco Science
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• v.1 no.2
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• pp.127-137
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• 1979

Three factors affecting cigarette weight, tobacco shreds length(cut width 0.9mm), moisture content and filling grower were studied for domestic brands. The results were obtained as follows. 1. When the moisture contents war법 changed by one per cent consecutively. filling power of tobacco shreds and cigarette weight were changed by 3.9 - 7.9 per cent for the former and by 5.7 - 7.6 per cent for the later. The longer the length of tobacco, shreds, the wider are the changing radios, and vice versa. 2. At constant moisture content (12 %), filling Power and cigarette weight were varied by 3.8- 22.8 per cent and by 2.9-29.4 per cent respectively due to the fluctuation of tobacco shreds length, The range of this variation was increased by reducing moisture content , and was decreased by increasing the moisture content. 3. The higher the blending ratio of shreds longer than 2 mm, the lower are the cigarette weights. 4. The operation standard weight of domestic brands was found 1- 9 per cent higher compared with the observed optimal cigarette weight in this study.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2981-2986
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• 2015

In this paper, there are m servers to carry out broadcasts and the scheduling problem to serve the requests with deadlines is studied. If a server broadcasts a page, then all the requests which require the page are satisfied. A scheduling algorithm shall determine which pages are broadcasted on servers at a time. Its goal is to maximize the sum of weights of requests satisfied within their deadlines. The performance of an on-line algorithm is compared with that of the optimal off-line algorithm which can see all the inputs in advance. In general, the off-line algorithms outperform the on-line algorithms. So we will use the resource augmentation analysis in which the on-line algorithms can utilize more resources. We consider the case that the on-line algorithms can use more servers in this paper.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.11
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• pp.1540-1546
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• 2009

One hundred and forty-four piglets with an average birth weight of 1,672${\pm}$13.4 g were used to evaluate different feeding strategies for piglets reared from birth on a dummy sow. A 3${\times}$2 factorial experiment compared three nursing frequencies (1, 3 or 6 h intervals) and two feeding regimes (milk only, or milk combined with access to creep feed and water). The piglets which were nursed at one hour intervals had the lightest body weights at all days, and the poorest combined milk and creep feed dry matter conversion efficiency to piglet body weight gain in the second week. Piglets which were nursed at 3 h intervals had the heaviest body weight at day 15 and 22, but those nursed at 6 h intervals achieved similar body weight by days 29 (milk withdrawal) and 36. Piglets offered creep feed were observed to wean themselves before cessation of milk availability, and the timing of this self-weaning depended on the nursing frequency. The piglets nursed at one hour intervals weaned themselves between day 22 and day 29, those nursed at 3 h intervals weaned themselves between day 15 and day 22, whilst those nursed at 6 h intervals weaned themselves between day 8 and day 15. The piglets which were nursed at 6 h intervals had the highest total dry matter intake in weeks 3 and 4 when fed with milk, creep feed and water but not when fed milk only. They consequently had the poorest dry matter conversion efficiency in the fourth week and overall when fed with milk, creep feed and water, but not when fed milk only. It is concluded that the optimal management routine under these conditions is a 3 h nursing cycle with provision of supplementary creep feed and water.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.11
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• pp.989-996
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• 2016

This paper intends to develop the rotor track and balance (RTB) algorithm using the nonlinear RTB models and a real-coded hybrid genetic algorithm. The RTB response data computed using the trim solutions with variation of the adjustment parameters have been used to build nonlinear RTB models based on the quadratic interpolation functions. Nonlinear programming problems to minimize the track deviations and the airframe vibration responses have been formulated to find optimum settings of balance weights, trim-tab deflections, and pitch-link lengths of each blade. The results are efficiently resolved using the real-coded genetic algorithm hybridized with the particle swarm optimization techniques for convergence acceleration. The nonlinear RTB models and the optimized RTB parameters have been compared with those computed using the linear models to validate the proposed techniques. The results showed that the nonlinear models lead to more accurate models and reduced RTB responses than the linear counterpart.

• Journal of Nutrition and Health
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• v.35 no.9
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• pp.952-961
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• 2002

The purpose of this study was to compare nutrient intakes and the serum iron status of 74 Food and Nutrition major, and 45 non-major, female students at a university in Incheon. This cross-sectional survey was conducted using a self-administered questionnaire and the data were analyzed by the SPSS 10.0 program. The nutrient intake data collected from three-day dietary recalls were analyzed by the Computer Aided Nutritional Analysis Program. Anthropometric data and hematological indices of iron in the blood were measured. Average heights, weights, body fat and mid-upper arm circumference of Food and Nutrition major and non-major female students were 160.3 cm, 53.5kg, 25.8%, 23.7cm and 159.8cm, 55.5kg, 28.9%, 24.8cm, respectively. There were significant differences in body fat percentage and mid-upper arm circumference between the major and non-major students. In all subjects, daily dietary intakes of nutrients- except protein, vitarrlin B1, vitamin C and phosphorus - were lower than the Korean RDA. In particular, calcium and iron intakes of all subjects were under 60% of the Korean RDA. Values of RBC (red blood cell) count, Hb (hemoglobin), Hct (hematocrit), MCV (mean cell volume), MCH (mean cell hemoglobin), and MCHC (mean corpuscular hemoglobin concentration) of the non-major students were significantly higher compared to those of the major students. The diastolic blood pressure of the major students was negatively correlated with MCV, MCH, TS, and serum iron levels. Triceps skinfold thickness, mid-upper arm circumference and waist-to-hip ratios of the non-major students were negatively correlated with TIBC. Fat intake was positively correlated with RBC, Hb, Hct, and TIBC (total iron binding capacity) in the major students. Vitamin C intake was positively correlated with serum iron in the major students. Carbohydrate intake was positively correlated with Hb, Hct, and MCHC in the non-major students. Niacin and iron intakes were positively correlated with Hb and Hct in the non-major students. Therefore, nutrition education is necessary for female university students to improve nutritional status and to practice optimal nutrition strategies. (Korean J Nutrition 35(9) : 952~961, 2002)

• Nutrition Research and Practice
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• v.1 no.2
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• pp.131-142
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• 2007

The purpose of this study was to investigate differences in the body composition, dietary habits, daily intake of nutrients and clinical blood indices in female college students by body mass index of normal weight, overweight and obese. The subjects of this research were 141 respondents of a survey carried out on students, and subjects were given 60 minutes to answer questionnaires, by recording their own answers. The average heights and weights of subjects by BMI were 162.17 cm, 52.73 kg in normal weight group, 162.35 cm, 62.22 kg in overweight group and 161.72 cm, 69.82 kg in obesity group, respectively. As for the survey daily of meals, starving breakfast and kind of snacks of subjects were significantly different among the groups by BMI. In animal protein food intakes, meat intake was the highest 'every day' food consumed by subjects, and there was a significant difference in distribution of BMI among subjects. Fruits, and greenish and yellow vegetables intakes were the highest 'every day' foods indicated by the normal weight group. Consumption of carbonated beverages and juices showed a significant difference among groups by BMI. The average of total-cholesterol was the overweight group was the higher value. There was a significant difference in diastolic blood pressure and systolic blood pressure among the groups by BMI. Average daily calories intake levels were insufficient and the intake ratio of carbohydrates, protein, and fat was the normal weight group 68 : 17 : 15, the overweight group 64 : 18 : 18 and the obese group 73 : 14 : 13. Results of the daily vitamin intake analyses displayed riboflavin, niacin, vitamin C, and folic acid levels lower than the RI levels. Fe intake was the normal weight group 81%, overweight group 76%, obese group 59% of the RI level. Therefore, it is necessary for college students to establish regular meals, good quality snacks and consuming more vitamin and mineral nutritions for optimal health conditions.

• Journal of Nutrition and Health
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• v.53 no.5
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• pp.445-451
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• 2020

Purpose: Breastfeeding is the optimal method for feeding a newborn. But insufficient breast milk is the major reason why mothers give up breastfeeding. Herbal galactagogues have been used increasingly to treat postpartum hypogalactia. This study examined the effect of an herbal tea containing Chrysanthemum indicum, as the main ingredient, on milk production in lactating rats. Methods: The herbal tea contained C. indicum (27%), Foeniculum vulgare Mill (21%), Pimpinella anisum (18.2%), Carum carvi (16.1%), Urtica dioica (14.7%), and Gardenia jasminoides (3%). Sixteen lactating Sprague-Dawley (SD) rats were divided randomly into 2 groups, the normal control group (NC; n = 8), and the galactagogue herbal tea group (GHT; n = 8) for 7 days. Lactating rats were administered the decoction of an herbal galactagogue mixture by oral gavage or the same amount of distilled water and milk production was assessed by measuring the pups' weights during the suckling period. The blood concentrations of prolactin, cortisol, oxytocin levels and mammary gland tissues were examined to assess the effects of the galactagogue. Results: Milk production was 9.2% higher in the GHT group given the herbal tea than in the NC group and the difference was statistically significant. The cortisol level in the GHT group was 17.2% higher than the NC group. The herbal tea containing C. indicum increased the size of the alveoli epithelium cells and the mammary lobe. Conclusion: The present study revealed the potential of herbal tea containing C. indicum to enhance milk production in postpartum SD rats.

• Journal of Periodontal and Implant Science
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• v.48 no.2
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• pp.114-123
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• 2018

Purpose: The aim of the current study was to develop a computer-assisted detection system based on a deep convolutional neural network (CNN) algorithm and to evaluate the potential usefulness and accuracy of this system for the diagnosis and prediction of periodontally compromised teeth (PCT). Methods: Combining pretrained deep CNN architecture and a self-trained network, periapical radiographic images were used to determine the optimal CNN algorithm and weights. The diagnostic and predictive accuracy, sensitivity, specificity, positive predictive value, negative predictive value, receiver operating characteristic (ROC) curve, area under the ROC curve, confusion matrix, and 95% confidence intervals (CIs) were calculated using our deep CNN algorithm, based on a Keras framework in Python. Results: The periapical radiographic dataset was split into training (n=1,044), validation (n=348), and test (n=348) datasets. With the deep learning algorithm, the diagnostic accuracy for PCT was 81.0% for premolars and 76.7% for molars. Using 64 premolars and 64 molars that were clinically diagnosed as severe PCT, the accuracy of predicting extraction was 82.8% (95% CI, 70.1%-91.2%) for premolars and 73.4% (95% CI, 59.9%-84.0%) for molars. Conclusions: We demonstrated that the deep CNN algorithm was useful for assessing the diagnosis and predictability of PCT. Therefore, with further optimization of the PCT dataset and improvements in the algorithm, a computer-aided detection system can be expected to become an effective and efficient method of diagnosing and predicting PCT.

• KSBB Journal
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• v.29 no.3
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• pp.131-138
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• 2014

In this study, we isolated two novel chitinase producing bacterial strains from yellow loess samples collected from Jullanamdo province. The chitinase producing bacteria were isolated based on the zone size of clearance in the chitin agar plates. Both of them were gram positive, rod ($2{\sim}3{\times}0.3{\sim}0.4{\mu}m$), spore-forming, and motility positive. They were facultative anaerobic, catalase positive and hydrolyzed starch, gelatin, and casein. From the 16s rRNA gene sequence analysis, the isolates were labeled as Bacillus licheniformis KYLS-CU01 and B. licheniformis KYLS-CU02. The isolates showed higher extracellular chitinase activities than B. licheniformis ATCC 14580 as a control. The optimum temperature and pH for chitinase production were $40^{\circ}C$ and pH 7.0, respectively. Response Surface Methodology (RSM) was used to optimize the culture medium for efficient production of the chitinase. Under this optimal condition, 1.5 times higher chitinase activity of B. licheniformis KYLS-CU02 was obtained. Extracellular chitinases of the two isolates were purified through ammonium sulfate precipitation and anion-exchange DEAE-cellulose column chromatography. The specific activities of purified chitinase from B. licheniformis KYLS-CU01 and B. licheniformis KYLS-CU02 were 7.65 and 5.21 U/mg protein, respectively. The molecular weights of the two purified chitinases were 59 kDa. Further, the purified chitinase of B. licheniformis KYLS-CU01 showed high antifungal activity against Fusarium sp.. In conclusion, these two bacterial isolates can be used as a biopesticide to control pathogenic fungi.