• The Journal of Internal Korean Medicine
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• v.44 no.2
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• pp.260-268
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• 2023

Objectives: This study reported a clinical case of a chronic diarrhea patient who showed improvement with Korean medicine treatment. Methods: A patient with chronic diarrhea was treated with herbal medicine (Omae-hwan and Omae-hwan-ryo), acupuncture, cupping, and moxibustion. Changes in stool form were measured using the Bristol Stool Scale (BSS). The frequency of defecation was checked every day. The Short Form 36-Item (SF-36) was used to compare patients' quality of life before and after treatment. Results: Korean medicine treatment improved the stool form, frequency of defecation, and quality of life. Conclusion: Korean medicine treatment containing Omae-hwan and Omae-hwan-ryo improves clinical symptoms and quality of life.

• The Research Journal of the Costume Culture
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• v.12 no.5
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• pp.743-756
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• 2004

The purpose of this study is to set measurement parts which are important to identify the size and shape of the head in order to produce tightly fitted hats, and to identify detailed sizes and the major factors of head shape classifications of Korean women. A total of 285 Korean women's in the age group of 18 to 35 years old. It were measured through the direct measurement method by selecting 67 measurement items. Materials were analyzed by SPSS Ver.10 and technology statistics and factor analysis were performed according to the agenda. An attempt was made to conduct factor analysis of the measured region of the head in women's. Here, this study drew the head and the facial parts horizontal size as Factor 1, the head and facial parts vertical size as Factor 2, the circumference and width item as Factor 3, the factor representing the form of head height as Factor 4, the factor expressing the proportion of the facial form as Factor 5 and the factor about the frontal and back head form on the plan of the middle as Factor 6. Through this study, we will be able to systemize head measurement materials that can differentiate Korean's head from other peoples' and can use the results in developing head shape models according to Korean's head shape by selecting major head parts needed to identify the sizes and shapes.

• Journal of muscle and joint health
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• v.26 no.3
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• pp.281-289
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• 2019

Purpose: This study aims to develop the Korean version of Presenteeism Scale for Students and verify its reliability and validity. Methods: This study conducted a survey with 320 undergraduate students who are attending nursing departments at three universities. The survey was conducted twice, from June 1 to August 31, 2017. Results: The Cronbach's α of K-PSS was .70 indicating high reliability. As a result of testing the content validity of K-PSS was verified by calculating the Item level-Content Validity Index (I-CVI) of .87. The correlation between Medical Outcome Study 36-item Short Form Health Survey (SF-36) score and Work Impairment Score (WIS), Work Output Score (WOS), Hours of absenteeism (HA) was analyzed to verify the concurrent validity of K-PSS. SF-36 score was correlated with WIS, WOS, HA. To test the differentiated validity of K-PSS, a total of 38 subjects were assessed by the paired t-test. As a result, only WIS score showed a significant difference between pre-test and post-test. Conclusion: Since the reliability and validity of the K-PSS developed through this study have been verified, it is expected to be used in various studies related to the presenteeism of students.

• The Mathematical Education
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• v.48 no.4
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• pp.399-417
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• 2009

The purpose of this study was to explore the adaptability of U.S. multiple-choice items to measure Mathematical Knowledge for Teaching (MKT) in Korea. For this purpose, the authors selected the number and operations form B which was developed by Learning Mathematics for Teaching (LMT) project at the University of Michigan and then adapted items in terms of general cultural context, school cultural context, mathematical substances, and language in Korea. The survey was administrated to 77 Korean in-service teachers who had more than three years of teaching experiences. Based on the survey, the authors compared the data to that of U.S. teachers who had participated California's Mathematics Professional Development Institute. As a result, the survey measures less knowledge Korean teachers than more knowledgable Korean teachers and there are strong correlations of relative item difficulties between Korean teachers and U.S. teachers for both Content Knowledge (CK) items and Knowledge of Content and Students (KCS) items. This study implies the future direction for developing items to measure teacher knowledge as well as designing effective teacher education programs.

• Journal of Information Processing Systems
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• v.17 no.4
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• pp.707-720
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• 2021

To improve the accuracy of the recommendation system, multi-criteria recommendation systems have been widely researched. However, it is highly complicated to extract the preferred features of users and items from the data. To this end, subjective indicators, which indicate a user's priorities for personalized recommendations, should be derived. In this study, we propose a method for generating recommendation candidates by predicting multi-criteria ratings from reviews and using them to derive user priorities. Using a deep learning model based on convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM), multi-criteria prediction ratings were derived from reviews. These ratings were then aggregated to form a linear regression model to predict the overall rating. This model not only predicts the overall rating but also uses the training weights from the layers of the model as the user's priority. Based on this, a new score matrix for recommendation is derived by calculating the similarity between the user and the item according to the criteria, and an item suitable for the user is proposed. The experiment was conducted by collecting the actual "TripAdvisor" dataset. For performance evaluation, the proposed method was compared with a general recommendation system based on singular value decomposition. The results of the experiments demonstrate the high performance of the proposed method.

• Women's Health Nursing
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• v.17 no.4
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• pp.337-345
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• 2011

Purpose: The purpose of this study is to examine the impact of type D personality on health status and health promoting behaviors in middle-aged women. Methods: A cross-sectional study design was used with 220 middle aged women. All participants completed 3 measuring tools: a 14-item Type D Personality Scale, a 12-item Short Form Health Survey Questionnaire version 2, and Health Promoting Lifestyle Profile-version II. All were completed in November 2010. Results: The prevalence of type D personality was 34.5%. Type D women had significantly lower physical (p=.020) and mental health status (p<.001) compared with non-type D women. In addition Type D women reported significantly poorer performance of health responsibility (p=.015), physical activity (p=.001), nutrition (p=.027), spiritual growth (p<.001), interpersonal relations (p<.001) and stress management (p<.001) techniques in health behaviors than non-type D women. Conclusion: Type D personality is a vulnerability factor that affects health status and is associated with poor health promoting behaviors in middle aged women. Therefore, screening for Type D personality is important to detect women at risk for health status and quality of life in community settings in Korea.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.344-349
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• 2008

When it comes to discussing the natural behaviors of human life, defining the word "community" itself can be extremely crucial. The word "Community" can be defined as a group of interacting human beings sharing an environment. It is also the basic form for "dwelling" which can be explained as a quint essential factor in human life. Compared to the previous traditional society with strong bonding and close chemistry between neighbors, modern society with simple and monolithic apartments brought a literal extinction of what has been called as a 'relationship'. Hence, people started to take this phenomenon as a problematic issue. Also, high-rise apartments made its residents more isolated and individualistic on a growing basis. In order to aid the aggravating symptoms, there has been a wide recognition between the "dwellers" to develop and strengthen their "community". This movement in strengthening the "community" is currently on a full expansion towards the cyber space, riding the tides of a drastic improvement of the Internet. Apartment web sites today not only displays introductory level of information they also provide wider meanings of general lifestyle plus deeper content, which can enhance their community.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2399-2413
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• 2021

A recommendation system is an information filter tool, which uses the ratings and reviews of users to generate a personalized recommendation service for users. However, the cold-start problem of users and items is still a major research hotspot on service recommendations. To address this challenge, this paper proposes a high-efficient hybrid recommendation system based on Fuzzy C-Means (FCM) clustering and supervised learning models. The proposed recommendation method includes two aspects: on the one hand, FCM clustering technique has been applied to the item-based collaborative filtering framework to solve the cold start problem; on the other hand, the content information is integrated into the collaborative filtering. The algorithm constructs the user and item membership degree feature vector, and adopts the data representation form of the scoring matrix to the supervised learning algorithm, as well as by combining the subjective membership degree feature vector and the objective membership degree feature vector in a linear combination, the prediction accuracy is significantly improved on the public datasets with different sparsity. The efficiency of the proposed system is illustrated by conducting several experiments on MovieLens dataset.

• The Journal of the Korea Contents Association
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• v.8 no.3
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• pp.1-7
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• 2008

Due to the development of ubiquitous computing, a wide variety of information is being produced and distributed rapidly in digital form. In this excess of information, it is not easy for users to search and find their desired information in short time. In this paper, we propose the personalized item recommendation using the image based filtering. This research uses the image based filtering which is extracting the feature from the image data that a user is interested in, in order to improve the superficial problem of content analysis. We evaluate the performance of the proposed method and it is compared with the performance of previous studies of the content based filtering and the collaborative filtering in the MovieLens dataset. And the results have shown that the proposed method significantly outperforms the previous methods.

• Child Health Nursing Research
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• v.9 no.3
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• pp.285-293
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• 2003

Purpose: This study was conducted to identify behavioral items for Korean infants under 24months by naturalistic observation. These items will be the basis for developmental scale for Korean infants. Method: Data were collected by observing and interviewing fifty one infants and their mothers during the period from November 15 to December 14, 2003. Raw data in descriptive form were obtained by unstructured naturalistic observation, and were reformed to behavioral items through discussion with professors in pediatric nursing and experienced nurses in child care department. Also, behavioral items were classified into five developmental areas. Result: Total number of behavioral items was two hundreds and thirty eight. 52 items for motor development, 66 items for personal-social, 40 items for hearing and speech, 41 items for eye-hand coordination, and 39 items for performance. Conclusion: This is meaningful that fundamental items for Korean developmental scale for infants were identified by observing behaviors of Korean infants. On the basis of these items, average age will be calculated for passing each item by testing Korean infants. We hope to develop Korean infant developmental scale as a final outcome in the future research.