• Genomics & Informatics
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• v.17 no.2
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• pp.16.1-16.4
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• 2019

Medical Subject Headings (MeSH), a medical thesaurus created by the National Library of Medicine (NLM), is a useful resource for natural language processing (NLP). In this article, the current status of the Japanese version of Medical Subject Headings (MeSH) is reviewed. Online investigation found that Japanese-English dictionaries, which assign MeSH information to applicable terms, but use them for NLP, were found to be difficult to access, due to license restrictions. Here, we investigate an open-source Japanese-English glossary as an alternative method for assigning MeSH IDs to Japanese terms, to obtain preliminary data for NLP proof-of-concept.

• Polymer Science and Technology
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• v.10 no.3
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• pp.319-324
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• 1999

• Journal of Korean Library and Information Science Society
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• v.48 no.1
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• pp.77-97
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• 2017

With reference management tool based on web, we could understand not only impact about non-author, such as hand-on worker, educator, who are out of academia, but also trace the subject fields of readers and their status. This study by analyzing mendeley, understand what kinds of subject fields and status of readers read library and information science field articles. As a result of analyzing the status and the major of the reader, readers were distributed in the fields of business administration, education and so on, and according to the reader's major, there was a significant difference (p = .000) between the subject area of relatively read a lot. By the way, as the result of relational analysis between citation rate and numbers of mendeley readership about medeley saved articles, correlation coefficient shows 0.585, however as the result of relational analysis limiting the groups, in case of author group who tends to read the articles for citing, correlation coefficient shows 0.619. On the other hand, non-author group shows 0.384.

• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.1
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• pp.11-18
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• 1993

The purposes of this study were to identify the most explainable socioeconomic variables influencing clothing selection criteria, and to explore the difference in the clothing seletion criteria among the groups with status inconsistencies. A questionnaire was developed to collect data for clothing selection criteria, and socioeconomic status. Socioeconomic status was measured by education and occupation of husband and wife, and family income. Status inconsistency was defined by the inconsistencies among education, income and occupation. Data were obtained from 369 housewives living in Seoul area. The results of this study were as follows: 1) The education of housewives was the most important variable influencing clothing selection criteria. 2) When the subjects were divided into three groups according to their status inconsistency group, there were partially significant differneces among groups in clothing selection criteria. The "overprivileged" status group attached more importance to the fashionability and psychological dependence than the other status group. The "underprivileged" status group attached more importance to the practicality and ecnomy than the other status group. And when the subject were divided into three groups according to their social mobility, there were sgnificant differences among groups in clothing selection criteria.

• Journal of Families and Better Life
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• v.8 no.1
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• pp.129-142
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• 1990

The purpose of this study were to investigate : 1) Differences of perceived time pressure according to the employment status of housewife. 2) The differences of housework strategy according to the employment status of housewife. 3) The relation between perceived time pressure and housework performance strategy. The subject of this study were 375 women living in Seoul, the age of youngest child is at least school age. They were composed of non employed housewives, employed professional housewives and employed non professional housewives. Survery methods were questionare and interview. Data analysis strategy were percentile, frequency, one-way ANOVA, scheffe test and MCA. The major findings were : 1) Perceived time pressure and two sub areas, psychological time pressure and time pressure according to the part of housework were significantly different according to the employment status of housewife. The independent influence of employment status of housewives was most po erful in regression analysis. 2) Housework performance strategy was different according to the employment status of housewife. The strategies were divisions of housework amon family members, use of convenience goods, services, appliance, paid help, adjustment of housework performance standard, reduction of leisure and sleep time.

• Korean Journal of Rural Living Science
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• v.5 no.2
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• pp.135-144
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• 1994

This study was carried out to investigate health status and nutritional status based on dietary intake and food habit of elderly women in rural area of Keyonggi Province. The subject of this study were 133 elderly women aged 60 and over and interviewed with a questionaire. Main result was as follows : 1) Health score based on modified Cornell Medical Index, CMI(45 out of 195 items) was the average $29.1\pm6.8$ and was not significantly different with family size educational level and farmwork participation. In age, 44.0% of the subject in 60~65 years old was low score of CMI(11~25), but 50% of the subject in older than 80 years old was high score(33~44). The subject with disease was 82% and disease of musculoskeletal system was main type. 2) Dietary intake data obtained by a semiquantitative food frequency questionaire showed the average daily intake of energy, protein, Ca, retinol and riboflavin was lower than RDA Daily energy, protein and Ca intake was individually 84%, 67% and 55.1%. It was retinol that was the least sufficient as 49.1% of RDA. 3) The relation between CMI score(divided into three level : low, middle and high) showed low level was significantly different with others according to daily intake of energy, protein, retinol, thiamin, riboflavin and ascorbic acid. The correlation between CMI score and all nutrient intake were highly significant (p＜0.001), thus we knew that health status was affected importantly by nutrient intake. 4) Family size, educational level and age showed not significant correlation with all nutrient intake. 5) In food habit, 84.8% of the subject had regular mealtime and 14.4% were skip meal sometimes. The main reason of skip meal was a poor appetite. Preference for salty taste of subject was insufficiently salty of somewhat salty. Preference for fishes and meats showed the subject consumed fishes more than meats, but 23.5% of the subject didn't consume both. The subject eaten supplement was 38.3%.

• The Korean Journal of Rehabilitation Nursing
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• v.11 no.2
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• pp.74-80
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• 2008

Purpose: The purpose of this study was to investigate the relationships among perceived health status, physical symptom, and depression in the elderly of Rural areas. Method: subjects were 633 elders selected during Feb. to May in 2005. All subject agreed to participate and filled out the survey questionnaire after signing the consent form. scales used in this study are the Perceived Health Status, the Physical Health Questionnaire(PHQ) and the Geriatric Depression Scale(GDS). Data was analyzed by the SPSS/PC 12.0 program. Result: 1) The mean score of perceived health status was 7.78; the mean score of physical symptom was 18.56; the mean score of depression was 8.53, and 64.6% of the subjects belonged to the depression group. 2) Perceived health status had significant relationship with educational level, spouse, and economic status; between physical symptom and educational level, number of chronic disease; between depression and spouse, economic status, number of chronic disease. 3) Depression had negative correlation with perceived health status, but had positive correlation with physical symptom. Conclusion: Considering these findings, it is necessary that depression management programs and care intervention programs considering regional and environmental elements for the elderly in Rural areas.

• Journal of Creative Information Culture
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• v.5 no.3
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• pp.225-236
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• 2019

Viewing and approaching problems based on computational thinking can be improved through informatics education, which is essential for students to live in a future society. The purpose of this study is to analyze the operation status of informatics subjects that have become general electives in the 2015 revised curriculum, and to contribute to enhancing the effect of future informatics subject. To achieve this goal, a questionnaire was conducted for 400 students who graduated from high school in 2015-2016, and five students and five informatics subjects teachers were interviewed. Operation period of Infomatics subject, contents, method and evaluation method were analyzed. As a result, the operation of informatics subjects varied greatly from the second semester of the first year to the second semester of the third year. The most common method was teaching type, but the percentage of self-study was high in the second semester of the third year. The contents of the study did not learn all the contents, and the use rate of textbooks was low in the class. This study confirmed that the informatics subject class did not proceed in the form of observing the curriculum similarly to other subjects excluded. It is also significant that for the first time, the operational status of informatics subjects was analyzed.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.442-452
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• 2014

Using the 1st and 7th waves of KEEP(Korea Education and Employment Panel), this study explores the relationships among 212 participants' characteristics during high school, experience of taking English-mediated subject courses(EMSC) during college, career decision types, and employment status. These students' high school experiences and college experiences were used to predict the log-odds of taking and the understanding EMSC. Results of the analysis showed that none of high school characteristics such as career decision, English private education experience, interest in English, and their scholastic aptitude test score in English were associated with taking and understanding EMSC. Among college experience variables, only female students' level of understanding English subject courses was statistically significantly higher than that of male students. There were statistically significant positive associations between the understanding the EMSC and the number of the EMSC taken and also between the understanding of the EMSC and perceived usefulness of the EMSC. There was also a statistically significant relationship between career types (continuing with graduate studies vs. working) and taking EMSC, but the relationship between career types and understanding the EMSC was not statistically significant. In addition, the relationship between the experience of taking EMSC and employment status was not statistically significant.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.683-690
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for papers analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected papers, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.