• Korean Journal of Community Nutrition
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• v.4 no.2
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• pp.207-218
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• 1999

The increased number of elderly in Korea presents great challenges for community nutrition programs. Strategies to enhance elderly nutrition are needed, as well as dietary advice that are reality-based and tailored to the need of the elderly. The purpose of this study was to evaluate the overall effectiveness of an elderly nutrition improvement program(ENIP), by assessing changes in nutrition knowledge, attitudes, and behavior after program completion. ENIP was conducted in Suwon for 4 months in 1998 at 5 centers for the elderly. The program provided individual nutrition counseling and brief biweekly group education sessions. To stimulate participation and motivation, the elderly in two centers were served free milk packs(200ml) three time a week during the program(milk＋education group), and the elderly in 3 other centers were served yoghurt on the program day(education group). Altogether, 102 subjects finished the program(milk＋education group 67 ; education group 35). Data about nutrition knowledge, dietary attitudes, diet records(24 hour recall) and dietary habit was collected before(baseline) and after the program(follow-up). The Drop-out rate for the milk＋education group(2.9%) was significantly lower than that for the education group(30.0%)(p<.001). The Nutrition Knowledge fo females milk＋education group increased significantly after the program, but no significant differences were observed in other groups. Over 60% of all the elderly showed positive responses to the healthy eating attitudes. Energy, protein, vitamin A, riboflavin, Calcium and Potassium intakes improved in the male milk＋education group. The Vitamin C intake improved in the male education group. Energy and vitamin A intakes improved in the female milk＋education group and energy, vitamin A, thiamin, riboflavin, niacin, Ca nad P in the female education group. A stepwise multiple regression analysis was performed to examine the effects of food intake changes on overall nutrient quality. For all elderly, the fish intake explained 12.6% of the variance, followed by candy intake and vegetable intake(model $R^2$=19.6%). Dietary habits such as meal time regularity and salty food reduction were markedly improved in both groups. Sixty-one percent of the milk＋education subjects stated their participation was voluntary and active, while 51% of education subjects did. Sixty four percent of the subjects stated their interest on diet increased remarkably through program participation. Considering the results, it is conjectured that ENIP had a great impact on nutrient intake, dietary attitudes and habits. Milk supplement showed no direct effects on elderly nutrition improvement, but it encouraged the program by reducing drop-out rates and inducing voluntary participation. Therefore milk supplement could enhance the community nutrition education program. Moreover it is strongly suggested that the ENIP be expanded to other communities.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.133-153
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• 2023

In this paper, we propose a novel approach to investigating brain-signal measurement technology using Electroencephalography (EEG). Traditionally, researchers have combined EEG signals with bio-signals (BSs) to enhance the classification performance of emotional states. Our objective was to explore the synergistic effects of coupling EEG and BSs, and determine whether the combination of EEG+BS improves the classification accuracy of emotional states compared to using EEG alone or combining EEG with pseudo-random signals (PS) generated arbitrarily by random generators. Employing four feature extraction methods, we examined four combinations: EEG alone, EG+BS, EEG+BS+PS, and EEG+PS, utilizing data from two widely-used open datasets. Emotional states (task versus rest states) were classified using Support Vector Machine (SVM) and Long Short-Term Memory (LSTM) classifiers. Our results revealed that when using the highest accuracy SVM-FFT, the average error rates of EEG+BS were 4.7% and 6.5% higher than those of EEG+PS and EEG alone, respectively. We also conducted a thorough analysis of EEG+BS by combining numerous PSs. The error rate of EEG+BS+PS displayed a V-shaped curve, initially decreasing due to the deep double descent phenomenon, followed by an increase attributed to the curse of dimensionality. Consequently, our findings suggest that the combination of EEG+BS may not always yield promising classification performance.

• Herbal Formula Science
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• v.13 no.2
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• pp.1-16
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• 2005

Objectives: To find out the effects GGTl, an antiobestic drug widely used in clinics, has on the blood-antiobestic index and the toxicity index using the data from the hGHTg obese male rats. We looked closely into both of the two indices because GGTl antiobestic effect can happen not only by pharmacological action, but also by its toxicity. Also, we verified the difference in effect between GGTl and reductil (sibutramine), which has been approved by the FDA of the United States. Methods: After performing the experiments for 8 weeks on the hGHTg obese male rats divided into three groups: the control group, the GGTl group, and the reductil (RD) group, we anesthetized the rats with Diethyl ether and took a 3ml blood sample from the heart. Then, after coagulating the blood in room temperature by using the plasma separator, we centrifuged it for 25 minutes in 3,000rpm using the high-speed refrigerated centrifuge. We kept the separated plasma in a deep freezer at $-80^{\circ}C$, and repeatedly measured the antiobestic index and the toxicity index twice using the hematology biochemistry analyzer. Also, in order to judge the indirect toxicity index, we separated liver from kidney and observed them. Results: When we looked at the results of the analysis of covariance on the measuring elements related to the antiobestic index (TC, HDL, LDL, TG, and GLU), there was no significant difference among the groups in all measuring elements. Also, the results of the analysis of covariance on the two roups (RD group and GGTl group) showed that the p-values had no significant difference under the level of significance 0.05. When we looked at the result of the analysis of covariance on the measuring elements related to the toxicity index (GOT, GPT, GGT, CREA, UA, ALB, and TP), we could see that the p-values in GPT, ALB, and TP have a significant difference among the groups. Also, the results of the analysis of covariance about the measuring elements related to the toxicity index on both groups, RD group and GGTl group, showed no significant difference in the p-values of all of the measuring elements in the two groups, RD and GGTl group. Conclusions: In conclusion, through this experiment, the safety of GGTl has been approved, and although the verification on its medical effect has not been clearly approved, when we consider the fact that it belongs to the same group as reductil, an antiobestic drug approved by the FDA of the United States, we could indirectly verify that GGTl has an antiobestic effect. We believe that when doing a sample design for a future experiment, it needs to be performed on a greater sample size based on the power analysis that needs to be performed primarily in experiments, and a more accurate verification is needed through more systematic experiment plans.