• Korean Journal of Logic
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• v.21 no.2
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• pp.155-174
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• 2018

This paper deals with Kripke-style semantics, which will be called algebraic Kripke-style semantics, for weakly associative fuzzy logics. First, we recall algebraic semantics for weakly associative logics. W next introduce algebraic Kripke-style semantics, and also connect them with algebraic semantics.

• Korean Journal of Community Nutrition
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• v.19 no.3
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• pp.231-240
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• 2014

Objectives: This study was intended to examine the seasonal differences in outdoor activity times and dietary vitamin D intakes, and explicates their relative impact on improving serum 25-(OH) vitamin D status among Korean young women. Methods: A cross-sectional study was conducted with 135 free-living women aged 19-39 years in Daegu-Kyungbook, Korea. We compared the results from 52 women for the summer and 83 women for the winter. Dietary intake of vitamin D was assessed by 24 hour recall method for non-consecutive three days as well as by food frequency method. Daily outdoor activity times were derived from 24 hour physical activity diary. Results: The average dietary intake of vitamin D of the participants by 24 hour recall method was 3.1 ${\mu}g$ during the summer, 3.3 ${\mu}g$ during the winter, showing no significant difference between the two seasons. Times spent on outdoor activities (p < 0.01) in the summer (= $23.8{\pm}23.6$ min) were much longer than that in the winter (= $10.8{\pm}13.4$ min). The serum 25-(OH) vitamin D levels of participants were $17.5{\pm}7.5$ ng/mL in the summer and $13.4{\pm}4.3$ ng/mL in the winter, showing that the latter was significantly lower than that of the former (p<0.001). The serum 25-(OH) vitamin D levels of subjects were positively related to outdoor activities (r=0.315, p<0.05) during the summer, while related to dietary intake (r=0.252, p<0.05) during the winter. Conclusions: In order to improve the current vitamin D status of Korean young women, nutrition education programs should focus on increasing more dietary intake especially during the winter, and performing more outdoor activities in other seasons.

• Information Systems Review
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• v.25 no.1
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• pp.1-26
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• 2023

Consumers tend to trust information provided by other consumers more than information provided by sellers. Therefore, while inducing consumers to write high-quality reviews is a very important task for companies, it is not easy to produce such high-quality reviews. Based on previous research on review writing and memory recall, we decided to develop a way to use digital nudge to help consumers naturally write high-quality reviews. Specifically, we designed an experiment to verify the effect of uploading a photo during the online review process on the quality of review of the review writer. We then recruited subjects and then divided them into groups that upload photos first and groups that do not. A task was assigned to each subject to write positive and negative reviews. As a result, it was confirmed that the behavior of uploading a photo first increases the review length. In addition, it was confirmed that when online users who upload photos first have extremely negative satisfaction with the product, the extent of two-sidedness of the review content increases.

• Journal of Korea Water Resources Association
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• v.54 no.9
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• pp.667-680
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• 2021

We investigated changes in frost days and frost-free periods and to comparatively assess frost event prediction models developed using logistic regression (LR), random forest (RF), and long short-term memory (LSTM) networks. The meteorological variables for the model development were collected from the Suwon, Cheongju, and Gwangju stations for the period of 1973-2019 for spring (March - May) and fall (September - November). The developed models were then evaluated by Precision, Recall, and f-1 score and graphical evaluation methods such as AUC and reliability diagram. The results showed that significant decreases (significance level of 0.01) in the frequencies of frost days were at the three stations in both spring and fall. Overall, the evaluation metrics showed that the performance of RF was highest, while that of LSTM was lowest. Despite higher AUC values (above 0.9) were found at the three stations, reliability diagrams showed inconsistent reliability. A further study is suggested on the improvement of the predictability of both frost events and the first and last frost days by the frost event prediction models and reliability of the models. It would be beneficial to replicate this study at more stations in other regions.

• Journal of the Korean Society of Food Culture
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• v.14 no.2
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• pp.155-165
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• 1999

The issue of health and nutritional wellbeing becomes one of the utmost concerns for the welfare of the elderly in a society of increased aging populations. This study was conducted to assess nutritional state and to identify possible dietary factors that might influence health and nutritional state of the free living elderly women. Two hundred sixty two elderly women, aged 60-90 who are actively participating in a continuing education program for the elderly in Seoul area, were interviewed using a dietary habit questionnaire and a 24-hour recall. Anthropometric measurements such as heights, weights, body mass index, and tricep skinfolds and dental status were significantly different between the two age groups, <75 and ${\geq}$ 75 years of age. Sixty eight percent of the subjects were using nutritional supplements regularly, in the descending order of vitamin-mineral supplements(40%), botanicals(27.6%), tonic drinks(16%), and health foods(13.2%). For hot beverages, our study subjects drank coffee (33.6%) and green tea (17.9%) frequently, followed by doongulae, job's tears, citron and kyulmyung tea. With regard to micronutrients, vitamin C intake was found to be lower in the group aged over 75 compared to that below 75 (p<0.05). Calcium intake was significantly higher among the elderly with good dental status followed by the groups with gingivitis, denture, and missed teeth with poor chewing abilities (p<0.05). The amount of personal spending money was found to be a significant contributing factor (p<0.05) to the energy and nutrient intake in an individual. The results of the present study can be applied to the identification of the possible factors that might intervene the aging process, to the planning of the nutrition education program, and to the development of health food products for the promotion of health and nutrition of the elderly women.

• Bulletin of the Korean Mathematical Society
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• v.26 no.2
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• pp.169-173
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• 1989

Let V={(x,y,z):f=z$^{n}$ -npz+(n-1)q=0 for n .geq. 3} be a compled analytic subvariety of a polydisc in $C^{3}$ where p=p(x,y) and q=q(x,y) are holomorphic near (x,y)=(0,0) and f is an irreducible Weierstrass polynomial in z of multiplicity n. Suppose that V has an isolated singular point at the origin. Recall that the z-discriminant of f is D(f)=c(p$^{n}$ -q$^{n-1}$) for some number c. Suppose that D(f) is square-free. then we prove that by Theorem 2.1 .mu.(p$^{n}$ -q$^{n-1}$)=.mu.(f)-(n-1)+n(n-2)I(p,q)+1 where .mu.(f), .mu. p$^{n}$ -q$^{n-1}$are the corresponding Milnor numbers of f, p$^{n}$ -q$^{n-1}$, respectively and I(p,q) is the intersection number of p and q at the origin. By one of applications suppose that W$_{t}$ ={(x,y,z):g$_{t}$ =z$^{n}$ -np$_{t}$ $^{n-1}$z+(n-1)q$_{t}$ $^{n-1}$=0} is a smooth family of complex analytic varieties near t=0 each of which has an isolated singularity at the origin, satisfying that the z-discriminant of g$_{t}$ , that is, D(g$_{t}$ ) is square-free. If .mu.(g$_{t}$ ) are constant near t=0, then we prove that the family of plane curves, D(g$_{t}$ ) are equisingular and also D(f$_{t}$ ) are equisingular near t=0 where f$_{t}$ =z$^{n}$ -np$_{t}$ z+(n-1)q$_{t}$ =0.}$ =0.

• Korean Journal of Community Nutrition
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• v.6 no.5
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• pp.765-772
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• 2001

To delineate the relationship between the nutrient intake from diet and the serum biochemical markers of bone metabolism, 56 postmenopausal women of 50 to 77 years of age were recruited. The biochemical markers including osteocalcin, calcium, phosphorus, estradiol and free testosterone were measured in fasting blood. Bone mineral density(BMD) was measured also by dual energy X-ray absorptiometry, and the nutrient intake of earth individual subject was estimated by 24-hour recall of 3 days. The age of the subjects was 64.8 $\pm$ 7.7 years, and the BMDs of the subject were 0.86 $\pm$ 0.26g/$cm^2$(Lumbar spine), 0.60 $\pm$ 0.10g/$cm^2$ (Femoral neck), 0.49 $\pm$ 0.10g/$cm^2$(Trochanter), and 0.41 $\pm$ 0.14g/$cm^2$(Ward's triangle). There were no significant differences among age and nutrient intake level groups due to the small sample size. The biochemical markers showed certain degree of relationship with nutrient intake levels. The results were compared among 3 groups with different nutrient intake level classified by the percentage of Recommended Daily Allowances(RDA) for Koreans as follows low < 75% RDA, 75% RDA $\leq$ adequate < 125% RDA, high $\geq$ 125% RDA. The low energy and low riboflavin groups showed significantly higher serum osteocalcin levels than those of the high intake groups(p < 0.05). On the other hand, there was a trend for serum Ca level to be higher with high nutrient intake. In this case, protein and thiamin were the only nutrients that reached a statistical significance(p < 0.05). And the groups with low intake for protein and Ca showed significantly lower serum free testosterone levels than that of other intake groups(p < 0.05). This study suggests an important role of nutrient intake levels on blood biochemical markers of bone metabolism.

• Korean Journal of Community Nutrition
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• v.6 no.1
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• pp.69-75
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• 2001

Intake of soy protein the fisk factors associated with cardiovascular disease in postmenopausal women. This study was designed to effects of isoflavone supplementation on serum lipids in 16 hyperlipidemic postmenopausal women . For this purpose, an intervention study was conducted for 12 weeks. Subjects were healthy, free-living women consuming habitual diets with 0.3ｇ/ｄ of isoflavone. Food and nutrient intake was obtained by 24-hr recall method and anthropometric measurement were made. Systolic and diastolic blood pressure, total serum cholesterol. HDL-cholesterol and LDL-cholesterol were determined before and after the isoflavone supplementation. The results were summarized as follows. The average age, hight, weight and BMI of the subject were 65.3 years, 151.4 cm, 62.2 kg and 27.1, respectively. The systolic blood pressure and diastolic blood pressure were not reduced significantly with isoflavone supplementation. Total cholesterol (p＜0.001), HDL-C(p＜0.05), and LDL-C(p＜0.01) were significantly increased after isoflavone concentration. In conclusion, isoflavone supplementation was not effective to modify risk factors for cardiovascular disease.

• Korean Journal of Logic
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• v.19 no.1
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• pp.107-126
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• 2016

This paper deals with Kripke-style semantics for weakening-free non-commutative fuzzy logics. As an example, we consider an algebraic Kripke-style semantics for an extension of the pseudo-uninorm based fuzzy logic HpsUL, $CnHpsUL^*$. For this, first, we recall the system $CnHpsUL^*$, define its corresponding algebraic structures $CnHpsUL^*$-algebras, and algebraic completeness results for it. We next introduce a Kripke-style semantics for $CnHpsUL^*$, and connect it with algebraic semantics.

• Journal of Information Technology Applications and Management
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• v.29 no.3
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• pp.43-55
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• 2022

In this study, with the goal of developing a deep learning-based product recommendation model for effective matching of influencers and products, a deep learning model with a collaborative filtering model combined with generalized matrix decomposition(GMF), a collaborative filtering model based on multi-layer perceptron (MLP), and neural collaborative filtering and generalized matrix Factorization (NeuMF), a hybrid model combining GMP and MLP was developed and tested. In particular, we utilize one-class problem free boosting (OCF-B) method to solve the one-class problem that occurs when training is performed only on positive cases using implicit feedback in the deep learning-based collaborative filtering recommendation model. In relation to model selection based on overall experimental results, the MLP model showed highest performance with weighted average precision, weighted average recall, and f1 score were 0.85 in the model (n=3,000, term=15). This study is meaningful in practice as it attempted to commercialize a deep learning-based recommendation system where influencer's promotion data is being accumulated, pactical personalized recommendation service is not yet commercially applied yet.