• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.3
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• pp.433-445
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• 2013

Purpose: There are a number of issues that can prevent students from obtaining a college degree. Our aim is to support academic probation students to improve their grades through a peer mentoring program. Method: 29 students as peer mentors were enrolled to provide support for 35 academic probation students and 51 as control. All students participated in the 4 month-long program including mentoring twice a week and out of campus activities. To identify factors affecting the change in the participants' GPA, a self-efficacy scale and an interpersonal support evaluation list were given to them before, as well as after the program. Using the SPSS/PC program, Chi-square test, paired t-test, ANOVA and lineal regression were applied. Results: All subjects significantly improved their self-efficacy and interpersonal support evaluation after the program (P<.001). The largest change in GPA after the program was shown in academic probation group (P<.001). Group, general self-efficacy, tangible help, belonging all were put into a regression model explaining the change in their GPA after the program (modified R squre is 69.5%, P<.05). Conclusion: A mentoring program, which aims to enhance self-efficacy and interpersonal support, can provide positive influences for a college student who needs a little extra attention from a peer.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.29 no.1
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• pp.108-118
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• 2019

Objective: The purpose of this study was to investigate the effects of occupational stress factors on the level of stress and depression of entertainment program producers and entertainment program writers. Methods: This study was based on analysis of a survey collected by 65 respondents out of 224 questionnaires who are entertainment program PDs and entertainment program writers. The survey was conducted from December 20, 2017 to February 20, 2018. Results: In the logistic regression analysis conducted to investigate the factors affecting the stress level in the job-related characteristics of a) higher total career, b) shorter working period in the current firm, c) longer weekly working hours and d) more count of weekend work, the results found higher stress levels. In the sub-factors of job stress, the stress level encountered by respondents was significantly higher for those with a) higher job demand, b) lower insufficient job control and c) higher job instability. In the logistic regression analysis conducted to investigate the factors affecting depression, the depression level in entertainment PD was higher than the entertainment writer in the sociodemographic characteristics. In the sub-factors of job stress, the stress level was significantly higher for those with higher job demand, lower insufficient job control, and higher job instability. For job-related characteristics, depression was significantly higher for longer weekly working hours. Conclusions: Entertainment program producers and entertainment program writers suffer from psychosocial stress and depression which are caused by excessive job demands, lack of job autonomy and job instabilities. Those factors must be managed and also their workweek should be shortened.

• Journal of Korean society of Dental Hygiene
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• v.13 no.1
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• pp.166-173
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• 2013

Objectives : The purpose of this study was to survey some soldiers oral care products along recognition, and thereby to identify possible correlations among those factors. Methods : Questionnaire survey was carried out targeting 272 soldiers. The collected data was performed frequency & percentage, fisher's exact test, chi-square test and multiple regression analysis. Results : Respondents approving the implementation of water fluoridation were 50.5%. The general factors of approval were age, education, Monthly household income. The knowledge factors of approval were experience of hearing of this program, the knowledge of the purpose of this program, the knowledge of the some regions in South Korea had been implement water fluoridation. The results of multiple logistic regression analysis were the awareness of oral health and the knowledge level of water fluoridation were related with this program approval. Conclusions : The study suggest that oral care products should be include in military dental health care program. In addition to development dental health programs each military unit is dental health care between Korean soldiers.

• Nuclear Engineering and Technology
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• v.28 no.1
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• pp.72-78
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• 1996

A computer program COVAFIT has been developed and applied to the evaluation of experimental cross sections for MeV energy incident particles. The program utilizes weighted least-square linear regression method with high-order polynomials derived in this study. Meeting the growing demand for the treatment of covariances in nuclear data, it deals with the variance and covariance data provided along with experimental cross sections and yields those for the evaluated ones. The evaluated results on two sets of neutron total cross section of oxygen and three sets of proton cross section for $C^{11}$ production reactions confirm the methodology formulated in and the applicability of the program.

• Korean Journal of Artificial Intelligence
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• v.10 no.1
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• pp.9-14
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• 2022

The demand for public bicycles operated by the Seoul Metropolitan Government is increasing every year. The size of the Seoul public bicycle project, which first started with about 5,600 units, increased to 3,7500 units as of September 2021, and the number of members is also increasing every year. However, as the size of the project grows, excessive budget spending and deficit problems are emerging for public bicycle projects, and new bicycles, rental office costs, and bicycle maintenance costs are blamed for the deficit. In this paper, the Azure Machine Learning Studio program and the Boosted Decision Tree Regression technique are used to predict the number of public bicycle rental over environmental factors and time. Predicted results it was confirmed that the demand for public bicycles was high in the season except for winter, and the demand for public bicycles was the highest at 6 p.m. In addition, in this paper compare four additional regression algorithms in addition to the Boosted Decision Tree Regression algorithm to measure algorithm performance. The results showed high accuracy in the order of the First Boosted Decision Tree Regression Algorithm (0.878802), second Decision Forest Regression (0.838232), third Poison Regression (0.62699), and fourth Linear Regression (0.618773). Based on these predictions, it is expected that more public bicycles will be placed at rental stations near public transportation to meet the growing demand for commuting hours and that more bicycles will be placed in rental stations in summer than winter and the life of bicycles can be extended in winter.

• Journal of the Korean Society of Physical Medicine
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• v.12 no.1
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• pp.113-120
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• 2017

PURPOSE: The purpose of this study is to provide the basic data for developing the self-leadership program by identifying the effect of self-leadership on intrinsic motivation among physical therapy students. METHODS: One hundred physical therapy students in E university of Gyeonggido were recruited by convenience sampling from October 4 to 14, 2016. Of them, 89% were chosen and 79% were analyzed after excluding the cases with wrong answers. The survey, using Likert's five scales was conducted with fifteen items of intrinsic motivation (Cronbach's ${\alpha}$, .84) and thirty-five items of self-leadership (Cronbach's ${\alpha}$, .90). Frequency analysis, correlation analysis regression diagnostics, and multiple regression analysis were done with SPSS 20.0 Statistics program (IBM, Korea). RESULTS: The total score of Self-leadership was 3.61 and of substrategies was 4.05 (Natural reward strategy), 3.38 (Behavior-focus strategy), and 3.43 (Constructive thought pattern strategy), respectively. The score of intrinsic motivation was 3.43. The substrategy of Self-leadership indicated positive correlation with intrinsic motivation. The correlation values in higher order were .75 (Natural reward strategy), .66 (Behavior-focus strategy), and .61 (Constructive thought pattern strategy). The Constructive thought pattern strategy (t=5.18, p=.00) and Natural reward strategy (t=2.10, p=.38), except Behavior-focus strategy were effective on intrinsic motivation, according to the multiple regression analysis. CONCLUSION: Before stepping up to the next level of being a physical therapist, students must go through the educational program to improve the Constructive thought pattern strategy and Natural reward strategy.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.339-343
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• 2005

Boolean networks(BN) construction is one of the commonly used methods for building gene networks from time series microarray data. However, BN has two major drawbacks. First, it requires heavy computing times. Second, the binary transformation of the microarray data may cause a loss of information. This paper propose two methods using liner regression to construct gene regulatory networks. The first proposed method uses regression based BN variable selection method, which reduces the computing time significantly in the BN construction. The second method is the regression based network method that can flexibly incorporate the interaction of the genes using continuous gene expression data. We construct the network structure from the simulated data to compare the computing times between Boolean networks and the proposed method. The regression based network method is evaluated using a microarray data of cell cycle in Caulobacter crescentus.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.45 no.10
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• pp.892-897
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• 2017

As the weapon system SW development and management manual of the DAPA, which is the regulation for the overall weapon system SW development, is revised, the level and scope of SW reliability test are upgraded to improve the reliability and quality of SW. It is a big burden for SW developers. In particular, the dynamic test requires a schedule and manpower required to implement the weapon system SW, and should be performed every time the source code changes, not just one time. In this paper, we propose a regression test automation program(VectorCast Environment Manager) that performs a dynamic test using VectorCast, a dynamic test tool, and then performs a regression test automatically by minimizing human intervention in the regression test of dynamic test due to the change of the source code.

• Journal of Korean Society for Quality Management
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• v.48 no.2
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• pp.297-307
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• 2020

Purpose: The purpose of this study is to analyze the factors that affect ammunition performance by applying data mining techniques to the Ammunition Stockpile Reliability Program (ASRP) data of the 155mm propelling charge. Methods: The ASRP data from 1999 to 2017 have been utilized. Logistic regression and decision tree analysis were used to investigate the factors that affect performance of ammunition. The performance evaluation of each model was conducted through comparison with an artificial neural networks(ANN) model. Results: The results of this study are as follows; logistic regression and the decision tree analysis showed that major defect rate of visual inspection is the most significant factor. Also, muzzle velocity by base charge and muzzle velocity by increment charge are also among the significant factors affecting the performance of 155mm propelling charge. To validate the logistic regression and decision tree models, their classification accuracies have been compared with the results of an ANN model. The results indicate that the logistic regression and decision tree models show sufficient performance which conforms the validity of the models. Conclusion: The main contribution of this paper is that, to our best knowledge, it is the first attempt at identifying the significant factors of ASPR data by using data mining techniques. The approaches suggested in the paper could also be extended to other types ammunition data.

• Research in Community and Public Health Nursing
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• v.28 no.3
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• pp.251-259
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• 2017

Purpose: This study aims to examine the influence of vitamin D and calcium on depression and cognitive function of the elderly living alone in a city. Methods: The participants were registered in eight senior centers in S city and they had lived alone. Data were collected between November 28, 2014 and March 7, 2015. A total of 155 people participated in data collection to measure the serum vitamin D, the serum calcium, depression, and cognitive function. The data were analyzed with t-test, ANOVA, Pearson's correlation and multiple regression analysis. Results: There were significant differences in depression according to gender and perceptions of health status. Depression correlated significantly with the serum calcium and perceptions of health status, and a stepwise regression analysis showed that the perceptions of health status were significant. There were significant differences in cognitive function according to education level and age. Cognitive function correlated significantly with the serum vitamin D and a stepwise regression analysis showed that education level and age were significant. Conclusion: Consequently, elderly people with poor perceptions of their health status need a depressive intervention program and those with a higher age and lower level of education need a cognitive function intervention program.