• Title/Summary/Keyword: Descriptive study

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A STUDY ON THE TECHNIQUES OF ESTIMATING THE PROBABILITY OF FAILURE

  • Lee, Yong-Kyun;Hwang, Dae-Sik
    • Journal of the Chungcheong Mathematical Society
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    • v.21 no.4
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    • pp.573-583
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    • 2008
  • In this paper, we introduce the techniques of estimating the probability of failure in reliability analysis. The basic idea of each technique is explained and drawbacks of these techniques are examined.

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Descriptive Profile and Liking/Disliking Factors for Aseptic-packaged Rice Porridge (무균포장죽의 묘사적 특성과 소비자 기호 유발 인자 결정)

  • Kwak, Han Sub;Oh, Ye-Jin;Kang, Han-Bit;Kim, Tae Hyoung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.42 no.11
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    • pp.1878-1885
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    • 2013
  • The purposes of this study are to generate sensory profile, measure consumer acceptance, and determine liking and disliking factors of aseptic-packaged rice porridges (APRP). Five APRPs made by five different rice cultivars were used for this study. Twenty-one attributes were generated by trained panelists. Finally, 16 attributes were determined as descriptive terms for APRP. Each cultivar showed a different descriptive sensory profile. In a consumer acceptance test, there was no statistical difference (P>0.05) in the acceptances of the overall, appearance, taste, texture, viscosity, and rice particle texture among the 5 APRPs. SW52 showed the highest acceptance ratings in the overall, appearance, taste and texture, followed by SR. A total of 52% of consumers showed preference toward SW52 and SR. SW63 showed the lowest ratings and no consumer preference pattern. Consumers were divided into two groups by a cluster analysis; one was the consumers (C1) who liked APRP, and the other was the consumers (C2) who had a neutral stand in general. By correlating the results from descriptive analysis and consumer ratings from C1, liking and disliking factors for consumer acceptance were determined. The disliking factors were bitterness, feeling of surface, stickiness, metallic flavor, roasted aroma, and thickness. The liking factors were old cooked rice aroma/flavor. The disliking factors dominated in the determination of acceptability of APRP. Selecting rice cultivars that had low intensities of disliking factors is the key for APRP development.

Exploring automatic scoring of mathematical descriptive assessment using prompt engineering with the GPT-4 model: Focused on permutations and combinations (프롬프트 엔지니어링을 통한 GPT-4 모델의 수학 서술형 평가 자동 채점 탐색: 순열과 조합을 중심으로)

  • Byoungchul Shin;Junsu Lee;Yunjoo Yoo
    • The Mathematical Education
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    • v.63 no.2
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    • pp.187-207
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    • 2024
  • In this study, we explored the feasibility of automatically scoring descriptive assessment items using GPT-4 based ChatGPT by comparing and analyzing the scoring results between teachers and GPT-4 based ChatGPT. For this purpose, three descriptive items from the permutation and combination unit for first-year high school students were selected from the KICE (Korea Institute for Curriculum and Evaluation) website. Items 1 and 2 had only one problem-solving strategy, while Item 3 had more than two strategies. Two teachers, each with over eight years of educational experience, graded answers from 204 students and compared these with the results from GPT-4 based ChatGPT. Various techniques such as Few-Shot-CoT, SC, structured, and Iteratively prompts were utilized to construct prompts for scoring, which were then inputted into GPT-4 based ChatGPT for scoring. The scoring results for Items 1 and 2 showed a strong correlation between the teachers' and GPT-4's scoring. For Item 3, which involved multiple problem-solving strategies, the student answers were first classified according to their strategies using prompts inputted into GPT-4 based ChatGPT. Following this classification, scoring prompts tailored to each type were applied and inputted into GPT-4 based ChatGPT for scoring, and these results also showed a strong correlation with the teachers' scoring. Through this, the potential for GPT-4 models utilizing prompt engineering to assist in teachers' scoring was confirmed, and the limitations of this study and directions for future research were presented.

Effects of Health Belief on Fall Prevention Activities of Emergency Room Nurses (응급실 간호사의 건강신념이 낙상예방활동에 미치는 영향)

  • Park, Min Kyoung;Kim, Hyun-Young
    • Journal of Korean Academy of Nursing Administration
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    • v.20 no.2
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    • pp.176-186
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    • 2014
  • Purpose: The purpose of this study was to analyze factors affecting fall prevention activities of emergency room (ER) nurses based on their health belief factors (perceived susceptibility, perceived benefits, perceived severity, perceived barriers, and cues to action). Methods: The study design was a descriptive survey using questionnaires which were given to 127 emergency room nurses from two regional emergency medical centers, four local emergency medical centers, and two local emergency medical facilities. Data were analyzed using descriptive analysis, t-test, one-way ANOVA with LSD test, Pearson correlation, and multiple regressions. Results: ER nurses' fall prevention activities had a mean of $3.78{\pm}0.50$. Eight individual characteristics and health belief factors accounted for 30.8% of the fall prevention activities. Fall prevention activities were found to be positively affected by emergency medical facilities, perceived benefits, and cues to action and negatively affected by factors, such as ER career and perceived severity. Conclusion: The results indicate that it is necessary to formulate a plan for enhancing perceived benefits and cues to action to improve fall prevention activities. In addition, fall prevention activities should be encouraged for ER nurses who have worked in local medical institutions for less than 1 year or more than 5 years.

Factors Associated with Physical Activity among Chinese Immigrant Women (중국 이민여성의 신체활동 관련 요인)

  • Cho, Sung-Hye;Lee, Hyeonkyeong
    • Journal of Korean Academy of Nursing
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    • v.43 no.6
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    • pp.760-769
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    • 2013
  • Purpose: This study was done to assess the level of physical activity among Chinese immigrant women and to determine the relationships of physical activity with individual characteristics and behavior-specific cognition. Methods: A cross-sectional descriptive study was conducted with 161 Chinese immigrant women living in Busan. A health promotion model of physical activity adapted from Pender's Health Promotion Model was used. Self-administered questionnaires were used to collect data during the period from September 25 to November 20, 2012. Using SPSS 18.0 program, descriptive statistics, t-test, analysis of variance, correlation analysis, and multiple regression analysis were done. Results: The average level of physical activity of the Chinese immigrant women was $1,050.06{\pm}686.47$ MET-min/week and the minimum activity among types of physical activity was most dominant (59.6%). As a result of multiple regression analysis, it was confirmed that self-efficacy and acculturation were statistically significant variables in the model (p<.001), with an explanatory power of 23.7%. Conclusion: The results indicate that the development and application of intervention strategies to increase acculturation and self-efficacy for immigrant women will aid in increasing the physical activity in Chinese immigrant women.

Comparison of Musculoskeletal Characteristics and Bone Mineral Density Related Factors between Male and Female University Students (일 대학 남녀 대학생의 근골격계 특성과 골밀도 영향요인 비교)

  • Choi, Seung-Hye;Lee, Haeyoung;Park, MiJeong;Park, Seungmi
    • Journal of muscle and joint health
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    • v.20 no.3
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    • pp.161-170
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    • 2013
  • Purpose: This study is intended to compare musculoskeletal characteristics and Bone Mineral Density (BMD)-related factors between male and female students in a university. Methods: This descriptive study used self-report questionnaires and physical measurements to collect data. Subjects were 64 male and 67 female university students. The questionnaires asked BMD-related factors such as diet, exercise, mental health, and lifestyle. Data were analyzed using descriptive statistics, t-test, $x^2$-test, Fisher's exact test and correlation analysis. Results: The male group showed better back strength, balance, endurance, physical activity, and musculoskeletal health management than the female group. Depression and smoking rates were higher in the male group than in the female group. No difference was found in diet between the two groups. Conclusion: The results suggest to develop gender-specific strategies to increase BMD in university students.

A Study of Family Adaptation with Chronically III Patients (I) - Stroke Patients at an Oriental Medical Hospital - (만성질환자 가족의 질병 적응과정 연구(I) - 한방병원에 입원한 뇌졸중 환자를 중심으로 -)

  • Lee, Young-Ae
    • Journal of East-West Nursing Research
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    • v.3 no.1
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    • pp.96-103
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    • 1998
  • This study was conducted to identify the adaptation process of the families with chronically ill patients. A descriptive comparative research design was used to the subjects of forty families that have stroke patients at an oriental medical hospital. Research tools were Demands of Illness Inventory(Woods, Haberman & Packard, 1987), Relative and Friend Support Index(McCubbin, Patterson & Glynn, 1982), Family Coping-Coherence Index (McCubbin, Larsen & Olson, 1982), Family Hardiness Index(McCubbin, McCubbin & Thompson, 1986), and Family Member Wellbeing Scale(McCubbin, McCubbin & Thompson, 1986). Data were collected from October 7, 1998 to November 7, 1998 at an oriental medical hospital located in IkSan city. The number of cases was forty and the data were analyzed by SPSS $PC^+$. Descriptive statistics of frequency, number, mean and standard deviation were used to report the results. The results were as follows ; 1. There was no significant differences between the two groups on the family stress. 2. There was significant differences between the two groups on the family strength (t value = - 3.09, p value=$.004^{**}$). 3. There was significant differences between the two groups on the family adaptation(t value= -2.08, pvalue=$.05^*$).

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Health Pattern of Elderly According to Age Group Who Living Alone in an Urban Area (일 도시 독거노인의 연령 군별 건강양상)

  • Kang Hae-Young;Seo Nam-Sook;Kim Young-Hee
    • Journal of Korean Academy of Nursing
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    • v.34 no.6
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    • pp.1057-1068
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    • 2004
  • Purpose: This study was conducted to identify the differences of health patterns; health-related characteristics, health behaviors, health problems, and self-care levels of elderly, living alone in an urban area according to age roup. Method: The study design was a descriptive survey and the subjects were 1,800 elderly consisting of 937 young old, 704 middle old, and 159 old old. Data was collected from May to July 2003 using the structured questionnaire and analyzed by descriptive statistics, $\chi$$^2$-test, Fisher's exact probability test, ANOVA and Scheffe test using SPSS/PC. Result: The health related characteristics which involved body mass index, mental status, use of assistant devices, perceived health, concern of health, and social support were different among the groups and more aggravated by aging. Health behaviors and health problems were also significantly aggravated in the old old group. The self-care levels measured by ADL, physical activity, and self-care ability scores were also significantly decreased in the old old group. Conclusion: For the level of health status, health behaviors and self-care ability were significantly decreased by aging, health care services for the elderly should be planned considering the difference in the health pattern by age group.

A Predictive Model of Depression in Rural Elders-Decision Tree Analysis (의사결정나무 분석기법을 이용한 농촌거주 노인의 우울예측모형 구축)

  • Kim, Seong Eun;Kim, Sun Ah
    • Journal of Korean Academy of Nursing
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    • v.43 no.3
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    • pp.442-451
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    • 2013
  • Purpose: This descriptive study was done to develop a predictive model of depression in rural elders that will guide prevention and reduction of depression in elders. Methods: A cross-sectional descriptive survey was done using face-to-face private interviews. Participants included in the final analysis were 461 elders (aged${\geq}$ 65 years). The questions were on depression, personal and environmental factors, body functions and structures, activity and participation. Decision tree analysis using the SPSS Modeler 14.1 program was applied to build an optimum and significant predictive model to predict depression in rural elders. Results: From the data analysis, the predictive model for factors related to depression in rural elders presented with 4 pathways. Predictive factors included exercise capacity, self-esteem, farming, social activity, cognitive function, and gender. The accuracy of the model was 83.7%, error rate 16.3%, sensitivity 63.3%, and specificity 93.6%. Conclusion: The results of this study can be used as a theoretical basis for developing a systematic knowledge system for nursing and for developing a protocol that prevents depression in elders living in rural areas, thereby contributing to advanced depression prevention for elders.