• Education of Primary School Mathematics
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• v.23 no.2
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• pp.73-85
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• 2020

The purpose of this study was to examine the influence of the auxiliary questions of word problems presented to students on their problem solving-strategies and mathematical thinking and to discuss the educational implications of the results. As a result of making an analysis, problems that included auxiliary questions to give information on workable problem-solving strategies made it more possible for students of different levels to do relatively equal mathematical thinking than problems that didn't by inducing them to adopt efficient problem-solving strategies. And they were helpful for the students in the middle and lower tiers to find a clue for problem solving without giving up. But it's unclear whether the problems that provided possible strategies through the auxiliary questions stirred up the analogical thinking of the students. In addition, due to the impact of the problems provided, some students failed to adopt a strategy that they could have come up with on their own. On the contrary, when the students solved word problems that just offered basic recommendation by minimizing auxiliary questions, the upper-tiered students could devise various strategies, but in the case of the students in the middle and lower tiers, those who gave up easily or who couldn't find an answer were relatively larger in number.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.582-590
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• 2016

The purpose of this study is to investigate the relationship between suicidal attitude and suicidal ideation of college students and also to provide the fundamental data in order to strengthen both the standard and the recommendation of media coverage in Korea. A total of 249 college students over the age of 18 years in B city and G do were enrolled for this study. The data were collected between June 9 and July 7 of 2014 and analyzed by using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression with SPSS 21.0. The mean score of a message of suicidal motivation reports 2 was $51.06{\pm}10.55$, which was the highest. The score of suicidal ideation was $10.41{\pm}12.88$. There were sign&ificant differences in suicidal thought with respect to school system, family income, pocket money, time of physical activity, smoking, and smart-phone usage in university students. It was shown that suicidal thoughts were significantly correlated with message of simple suicidal reports 1(r=.303, p<.001), message of suicidal motivation reports 2(r=.251, p<.001), and message of suicidal mourning man reports 3(r=.225, p<.001). As the suicidal attitude have a close association with reports of suicide, it is necessary that studies on a variety of factors influencing suicidal thoughts of students be repeated.

• Journal of KIISE:Software and Applications
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• v.32 no.7
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• pp.581-591
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• 2005

Collaborative filtering systems have problems involving sparsity and the provision of recommendations by making correlations between only two users' preferences. These systems recommend items based only on the preferences without taking in to account the contents of the items. As a result, the accuracy of recommendations depends on the data from user-rated items. When users rate items, it can be expected that not all users ran do so earnestly. This brings down the accuracy of recommendations. This paper proposes a collaborative recommendation method for extracting typical group preferences using user-item matrix optimization and user profiles in collaborative tittering systems. The method excludes unproven users by using entropy based on data from user-rated items and groups users into clusters after generating user profiles, and then extracts typical group preferences. The proposed method generates collaborative user profiles by using association word mining to reflect contents as well as preferences of items and groups users into clusters based on the profiles by using the vector space model and the K-means algorithm. To compensate for the shortcoming of providing recommendations using correlations between only two user preferences, the proposed method extracts typical preferences of groups using the entropy theory The typical preferences are extracted by combining user entropies with item preferences. The recommender system using typical group preferences solves the problem caused by recommendations based on preferences rated incorrectly by users and reduces time for retrieving the most similar users in groups.

• Journal of Nutrition and Health
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• v.46 no.2
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• pp.166-176
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• 2013

The purpose of this study was to investigate consumption of health functional food (HFF) and dietary habits, nutrient intake, and dietary quality by HFF consumption in college students. The subjects of this study included 283 college students (179 males and 104 females) in Incheon metropolitan city. The cross-sectional study was conducted using self-reported questionnaires, including kinds of HFF consumed, motivation for purchase, reason for consumption, effect after consumption, reason for no consumption, and dietary habits. A three-day recall method was used for dietary assessment. Dietary qualities were assessed using nutrient adequacy ratio (NAR), mean adequacy ratio (MAR), and nutrient density (ND) values. The percentage of HFF consumption was 40.2% in males and 50.0% in females. The main kinds of HFF consumed by males were vitamins and minerals, red ginseng, protein, and omega-3 fatty acid, in that order. HFF consumed by females were vitamins and minerals, red ginseng, omega-3 fatty acid, and individually approved functional ingredients, in that order. The main motivation for purchase of HFF was recommendation of family and relatives (males 76.4% and females 78.8%). The main reason for consumption of HFF was health promotion (males 67.7% and females 63.5%) and the main reason for no consumption of HFF was not having a health problem (males 49.5% and females 46.2%). The dietary habit score for 'eat the milk or dairy product everyday' (p < 0.05) in females was significantly higher in HFF consumers, compared to HFF non-consumers. In males, the ND of vitamin B1 (p < 0.05) in HFF consumers was significantly higher compared to HFF non-consumers. In females, HFF consumers showed a significantly higher ND of vitamin B2 (p < 0.05) and Ca (p < 0.01), compared to HFF non-consumers. Regardless of HFF consumption, the NAR of vitamin C, folic acid, and Ca was less than 0.7. These results suggest the need for nutrition education for college students in order to improve dietary habits and for balanced nutritional status, and to provide correct information on HFF.

• Nuclear Engineering and Technology
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• v.53 no.8
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• pp.2534-2546
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• 2021

Nuclear emergency preparedness and response is an essential part to ensure the safety of nuclear power plant (NPP). Key support technologies of nuclear emergency decision-making usually consist of accident diagnosis, source term estimation, accident consequence assessment, and protective action recommendation. Source term estimation is almost the most difficult part among them. For example, bad communication, incomplete information, as well as complicated accident scenario make it hard to determine the reactor status and estimate the source term timely in the Fukushima accident. Subsequently, it leads to the hard decision on how to take appropriate emergency response actions. Hence, this paper aims to develop a method for rapid source term estimation to support nuclear emergency decision making in pressurized water reactor NPP. The method aims to make our knowledge on NPP provide better support nuclear emergency. Firstly, this paper studies how to build a Bayesian network model for the NPP based on professional knowledge and engineering knowledge. This paper presents a method transforming the PRA model (event trees and fault trees) into a corresponding Bayesian network model. To solve the problem that some physical phenomena which are modeled as pivotal events in level 2 PRA, cannot find sensors associated directly with their occurrence, a weighted assignment approach based on expert assessment is proposed in this paper. Secondly, the monitoring data of NPP are provided to the Bayesian network model, the real-time status of pivotal events and initiating events can be determined based on the junction tree algorithm. Thirdly, since PRA knowledge can link the accident sequences to the possible release categories, the proposed method is capable to find the most likely release category for the candidate accidents scenarios, namely the source term. The probabilities of possible accident sequences and the source term are calculated. Finally, the prototype software is checked against several sets of accident scenario data which are generated by the simulator of AP1000-NPP, including large loss of coolant accident, loss of main feedwater, main steam line break, and steam generator tube rupture. The results show that the proposed method for rapid source term estimation under nuclear emergency decision making is promising.

• Mood & Emotion
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• v.16 no.3
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• pp.123-128
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• 2018

Objectives : The fourth revision of Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) was performed to provide more proper guidelines for clinicians. In this study, we evaluated treatment strategies of elderly patients with bipolar disorders of KMAP-BP 2018. Methods : Sixty-one psychiatrists of the review committee with vast clinical experiences in treating bipolar disorders, completed the survey. An expert consensus was obtained, on pharmacological treatment strategies for elderly patients with bipolar disorder. The executive committee analyzed results, and discussed the results to produce the final algorithm. Results : In elderly patients with bipolar disorder, first-line treatment option for acute manic episode is monotherapy, with atypical antipsychotics or mood stabilizer, and a combination of mood stabilizer and atypical antipsychotics. First-line treatment option for acute depressive episode, was a combination of mood stabilizer and atypical antipsychotics, monotherapy with atypical antipsychotic or mood stabilizer, and atypical antipsychotics with lamotrigine. Conclusion : In KMAP-BP 2018, the recommendation for treatment option in elderly patients with bipolar disorder, was newly introduced. We expect this algorithm may provide valuable information, and facilitate treatment of elderly patients with bipolar disorder.

• Journal of agriculture & life science
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• v.51 no.6
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• pp.137-144
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• 2017

A diverse of recommendation has been made for the structure and management of dairy cows, despite demanding research, the relationship between lactation number and various factors is yet to be established. The present study was aimed to investigate the covariance among lactation number, growth performance, calving interval, and milk production was considered to increase an efficiency of selection schemes and to manage more efficiently Holstein dairy cows that have been raised on small-scale family farms in Republic of Korea. For that purpose, the data were observed from 850 Holstein dairy cows, which a total of 3929 milking, since April 2016 - January 2017. We measured the body weight, height, age, calving interval, and milk production of the each dairy cow. Also, information about the date of lactation, calving interval, and milk production was recorded using an automatic milking system(AMS) with identification numbers. Milk production was calculated per udder quarter in the AMS. Our study results showed the increased average body weight(p>0.05) in 1, 2, 3, and $4^{th}$ lactating dairy cows and afterwards, we noticed the tendency on the average body weight(p<0.05) per lactation progressed. There was no significant difference noticed on height measurement of dairy cows. From the processing data of 850 Holstein dairy cows, the lactation number 1 and 7 had a greater calving interval with significantly lowered milk production, and the lactation number 2, 3, 4, 5, and 6 had significantly lowered the calving interval(p<0.05) with a greater milk production. From our study results, we evidenced that there is a significant relationship between the lactation number, growth performance, calving interval, and milk yield, and the maximum production of milk occurring in the $3^{rd}$ and $4^{th}$ lactation dairy cows. The achieved results from this study can be used by the small-scale farmers to encourage the structure and management of growth performance, calving interval, and milk yield in Holstein dairy cows in Korea.

• Korean Journal of Anesthesiology
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• v.71 no.6
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• pp.467-475
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• 2018

Background: The Quality of Recovery-40 (QoR-40) is a widely-used, self-rated, and self-completed questionnaire for postoperative patients. The questionnaire is intended to elicit information from each patient regarding the quality of recovery during the postoperative period. It is noteworthy, however, that an official Korean version of the QoR-40 (QoR-40K) has not been established. The purpose of this study was to develop the QoR-40K by translation and cultural adaptation process and to evaluate the validity and reliability of the QoR-40K. Methods: After pre-authorization from the original author of the QoR-40, the translation procedure was established and carried out based upon Beaton's recommendation to create a QoR-40K model comparable to the original English QoR-40. Two hundred surgical patients were enrolled, and each completed the questionnaire during the preoperative period, on the third day, and 1 month after surgery. The QoR-40K was compared with the visual analogue scale (VAS) and another health-related questionnaire, the Short-form Health Survery-36 (SF-36). The method of validation for QoR-40K included test-retest reliability, internal consistency, and level of responsiveness. Results: Spearman's correlation coefficient for test-retest reliability was 0.895 (P < 0.001), and Cronbach's alpha of the global QoR-40K on the third day after surgery was 0.956. A positive correlation was obtained between the QoR-40K and the mental component summary of SF-36 (${\rho}=0.474$, P < 0.001), and a negative correlation was observed between QoR-40K and VAS (${\rho}=-0.341$, P < 0.001). The standardized responsive mean of the total QoR-40K was 0.71. Conclusions: The QoR-40K was found to be as acceptable and reliable as the original English QoR-40 for Korean patients after surgery, despite the apparent differences in the respective patients' cultural backgrounds.

• Korean Journal of Community Nutrition
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• v.25 no.6
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• pp.464-473
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• 2020

Objectives: The purpose of this study was to compare and analyze e-commerce food purchase behavior and the perceptions of adult women according to their household types. Methods: The e-commerce food purchases of 318 adult women were surveyed and analyzed according to their household types (one-person or couple household (OCH); a household with children (HC); a household with parents (HP)). Results: The total amount of food purchases over 6 months through e-commerce according to household types was in the descending order of OCH (60.3%), HC (57%), and HP (55.1%) thus showing a significant difference (P < 0.05) in behavior between household types. The reasons for purchasing food through e-commerce included: a lower price than offline (30.8%), convenient delivery and transportation (30.2%), and food diversity (21.1%). When purchasing food online, the most important factor was price and quality, followed by quick and accurate delivery for OCH, exact information given about the product for HC, and recommendation from other consumers for HP (P < 0.01). The main foods purchased through e-commerce were coffee, tea (42.1%), instant and frozen foods (39.9%), water, beverages, dairy products (37.7%), snacks, bread, rice cakes (31.5%), and functional foods (27.4%). The percentage of respondents who were very satisfied or satisfied with their e-commerce food purchases was HP (84.1%), OCH (69.9%), and HC (65.6%) in that order (P < 0.05), and 96.5% of all subjects stated that they would be willing to purchase food through e-commerce in the future. The advantages of purchasing food through e-commerce were seen to be the highest in order and payment convenience with 4.1 points out of 5, followed by low price (4.0), variety of products (3.9), and ease of food purchase (3.9). Among the disadvantages listed, concerns about product damage and deterioration during delivery and differences between the displayed product and the delivered product were the highest with 3.7 points. Conclusions: The characteristics and perceptions of female consumers according to household types are important factors in enhancing the reach of e-commerce, and in preparing guidelines for food selection through e-commerce.

• Knowledge Management Research
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• v.22 no.4
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• pp.27-40
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• 2021

Click-Through Rate (CTR) prediction is a key function that determines the ranking of candidate items in the recommendation system and recommends high-ranking items to reduce customer information overload and achieve profit maximization through sales promotion. The fields of natural language processing and image classification are achieving remarkable growth through the use of deep neural networks. Recently, a transformer model based on an attention mechanism, differentiated from the mainstream models in the fields of natural language processing and image classification, has been proposed to achieve state-of-the-art in this field. In this study, we present a method for improving the performance of a transformer model for CTR prediction. In order to analyze the effect of discrete and categorical CTR data characteristics different from natural language and image data on performance, experiments on embedding regularization and transformer normalization are performed. According to the experimental results, it was confirmed that the prediction performance of the transformer was significantly improved when the L2 generalization was applied in the embedding process for CTR data input processing and when batch normalization was applied instead of layer normalization, which is the default regularization method, to the transformer model.