• Knee surgery & related research
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• 제30권4호
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• pp.284-292
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• 2018

Purpose: As the number of total knee arthroplasties (TKAs) increases, the incidence of femoral periprosthetic fractures after TKA is also increasing. This review aimed to suggest a new surgically oriented classification system for femoral periprosthetic fractures. Methods: We investigated the classifications, and current treatment trends for femoral periprosthetic fractures after TKA by means of a thorough review of the relevant literature. Results: Numerous studies reported good results of surgical treatment with modern fixatives including locking compression plates and retrograde intramedullary nails. However, few classifications of femoral periprosthetic fractures reflect the recent developments in surgical treatment. Conclusions: We recommend that surgical management be considered the first-line treatment for femoral periprosthetic fractures after TKA. Our new classification will help in deciding the surgical treatment option for femoral periprosthetic fractures after TKA.

• 한국수학사학회지
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• 제34권1호
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• pp.21-37
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• 2021

The purpose of the present study is to compare the differences in levels per group of high school students regarding the self-regulated learning factors for mathematics. For this purpose, a self-regulated learning measurement tool was developed and surveys were conducted. And the statistical analysis was completed using the frequency analysis, Kolmogorov-Smirnov normality test, Mann-Whitney U test and the Kruskal-Wallis H test. As a result, it is found that self-efficacy is of statistically significant differences in self-regulated learning levels regardless of the group classifications but test anxiety does not show statistically significant differences in self-regulated learning levels regardless of the group classifications.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.211-216
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• 2021

This study intended to test the structure of the latent factor of a subjective happiness scale and the stability of invariance across groups of students' classifications (gender and students' status). In the large, non-clinical sample (619), students completed the subjective happiness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students classifications. The findings of the CFA indicated support for the original one-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of students' statuses. The scale exists in both groups to assess the same concepts of (single and married), excluding Items 3 and 4. Given that this study is the first investigation for the structure of the subjective happiness scale.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.149-156
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• 2021

This study intended to test the structure of the latent factor of an effectiveness scale and the stability of invariance across groups of students' classifications (gender and levels of education). In the large, non-clinical sample (850), students completed the effectiveness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students' classifications. The findings of the CFA indicated support for the original four-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of levels of education. The scale exists in groups of levels of education assess the same concepts of, excluding Items 15 and 10. Given that this study is the first investigation for the structure of the effectiveness scale.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.113-118
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• 2024

Pursuance Sentiment Analysis on Twitter is difficult then performance it's used for great review. The present be for the reason to the tweet is extremely small with mostly contain slang, emoticon, and hash tag with other tweet words. A feature extraction stands every technique concerning structure and aspect point beginning particular tweets. The subdivision in a aspect vector is an integer that has a commitment on ascribing a supposition class to a tweet. The cycle of feature extraction is to eradicate the exact quality to get better the accurateness of the classifications models. In this manuscript we proposed Term Frequency-Inverse Document Frequency (TF-IDF) method is to secure Principal Component Analysis (PCA) with Naïve Bayes Classifiers. As the classifications process, the work proposed can produce different aspects from wildly valued feature commencing a Twitter dataset.

• 대한수학회지
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• 제56권4호
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• pp.917-934
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• 2019

In this paper, we give some classifications of almost Kenmotsu 3-manifolds under homogeneity and some symmetry conditions.

• 한국조리학회지
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• 제16권2호
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• pp.367-381
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• 2010

본 연구의 목적은 외식조리전공의 국내 학문분류체계의 문제점을 파악하고, 국내 및 국외 학문분류체계를 비교하는데 있다. 국내 외 비교는 외식산업 경영 학문에 초점을 맞춰 비교하고자 하였다. 본 연구에서는 2차 자료를 이용한 연구에서 유용한 내용분석 방법이 적용되어 국내의 한국학술진흥재단과 한국과학재단, 국외의 미국 국립과학재단(National Science Foundation)과 오라클사(Oracle Corporation), 캐나다의 NSERC(Natural Science and Engineering Research Council), 호주 통계청(Australian Bureau of Statistics)을 분석하였다. 분석 결과, 외식조리 관련전공의 국내의 분류체계는 단계별 계층적 차이에 근거하여 명시되어 있었고, 국외는 대등한 조건의 명칭적 분류로 명시되어 있었다. 본 연구는 향후 외식조리 관련 전공의 효과적인 학문적 분류를 위한 최초의 연구로서 의미가 있다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.262-266
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• 1999

Several commercial companies that plan to provide improved panchromatic and/or multi-spectral remote sensor data in the near future are suggesting that merge datasets will be of significant value. This study evaluated the utility of one major merging process-process components analysis and its inverse. The 6 bands of 30$\times$30m Landsat TM data and the 10$\times$l0m SPOT panchromatic data were used to create a new 10$\times$10m merged data file. For the image classification, 6 bands that is 1st, 2nd, 3rd, 4th, 5th and 7th band may be used in conjunction with supervised classification algorithms except band 6. One of the 7 bands is Band 6 that records thermal IR energy and is rarely used because of its coarse spatial resolution (120m) except being employed in thermal mapping. Because SPOT panchromatic has high resolution it makes 10$\times$10m SPOT panchromatic data be used to classify for the detailed classification. SPOT as the Landsat has acquired hundreds of thousands of images in digital format that are commercially available and are used by scientists in different fields. After the merged, the classifications used supervised classification and neural network. The method of the supervised classification is what used parallelepiped and/or minimum distance and MLC(Maximum Likelihood Classification) The back-propagation in the multi-layer perception is one of the neural network. The used method in this paper is MLC(Maximum Likelihood Classification) of the supervised classification and the back-propagation of the neural network. Later in this research SPOT systems and images are compared with these classification. A comparative analysis of the classifications from the TM and merged SPOT/TM datasets will be resulted in some conclusions.

• 복식
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• 제52권2호
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• pp.139-150
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• 2002

The purpose of this study was to explore the effects of meteorological factors on sales of apparel products. Basic fiat came out daily meteorological data and sales data of apparel products in department store from 1998 to 2000. Four factors(the average temperature, rainfall, wind velocity, sunshine duration) from the nine meteorological factors were selected and were collected with Korea Meteorological Administration. Sales data were collected with business strategy department of H (department store in Seoul. The sales data were divided into six classifications, which are woman's wear, men's wear, children's wear, golf wear, sports wear, and inner wear. The results of this study were as follows: 1) Sales of apparel products were significantly correlated with the average temperature, rainfall, wind velocity, sunshine duration. Among the meteorological factors, temperature turned out to be the most influential in apparel sales and then the amount of rainfall, sunshine duration affected sales according to apparel classifications differently. 2) There were some differences among the apparel classifications in the effect of meteorological factors on the sales of apparel. In the spring. the higher the temperature was, the higher the sales of women's wear and golf wear were, but the lower the sales of children's wear, sports wear and inner wear were. In the summer, The higher the amount of rainfall was, the lower the sales of all the apparel classification were. The higher the temperature was, the higher the sales of sports wear were. In the fall, the lower the temperature was, the higher the sales of all the apparel classification except snorts wear were. In the winter, the meteorological factors had little effect on the sales of women's wear, men's wear and children's wear. The higher the temperature was, the higher the sales of golf wear were. The lower the temperature was, the higher the sales of sports wear were.

• 한국보건간호학회지
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• 제17권1호
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• pp.132-143
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• 2003

The purpose of this study was to verify the effects of psychodrama group counselling, and to determine its applicability as a nursing intervention for the promotion of mental health of clients in their developmental stages. Methodological triangulation was used for research design. For quantitative study, quasi experimental study design with nonequivalent control group was used to test the effects of psychodrama group counselling. For each experimental and control group convenient samples of 15 nursing students were selected, and observed from May to Nov. 2000. For experimental group, the treatment was given for 2 hours each week, totaling 20 hours. The questionnaire consisted of 24 items of physical symptoms from CMI. 40 items of Spielberger Anxiety Scale, and 21 items of Beck Depression Scale. Reflective journal was written by the experimental group. The data were analyzed using chi-square and Mann-Whitney U test. For the qualitative study, the contents of the reflective journal were analyzed into categories and classifications. The results of the study were as follows; 1. There was a significant difference on physical health status between the experimental and the control group 2. There was a significant difference between two groups on the mean scores of mental health before and after psychodrama group counselling. 3. The qualitative analysis of reflective journal resulted in 4 categories and 13 classifications, which was reflected by the experience of the psychodrama group counselling. The four categories were self introspection, psychological support, improvement of interpersonal relationship and self development. The thirteen classifications are self-discovery, discovering others, emotional catharsis, positive thinking, formation of consensus, comforting, being free, being comfortable, understanding, maturing personal relationship, acquiring self-confidence, new challenges, and planning for the future. Based on the study findings, the psychodrama group counselling had promoted not only physical but also mental health of nursing students. The characteristics identified by the study suggested the applicability of psychodrama group counselling as an effective measure of nursing intervention for clients.