• 제목/요약/키워드: Regression program

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학업부진 대학생을 위한 또래 멘토링 프로그램의 효과 분석 (Outcome Analysis of a Peer Mentoring Program for College Students on Academic Probation)

  • 구진순;고영준;백설향
    • 한국간호교육학회지
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    • 제19권3호
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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.

예능 PD, 예능 작가의 직무스트레스요인이 스트레스 수준 및 우울에 미치는 영향 (The Effects of Entertainment Producer and Writer Job Stress Factors on Stress Level and Depression)

  • 류시내;구정완
    • 한국산업보건학회지
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    • 제29권1호
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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.

일부 군인들의 구강관리용품 사용실태 및 인식 (Some of the soldiers oral care products usage and recognition)

  • 심재숙;성정민
    • 한국치위생학회지
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    • 제13권1호
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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.

실험 핵자료의 분산-공분산을 고려한 회귀분석 프로그램 COVAFIT (A Regression Program COVAFIT Accounting for Variance-Covariances in Experimental Nuclear Data)

  • Oh, Soo-Youl;Jonghwa Chang
    • Nuclear Engineering and Technology
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    • 제28권1호
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    • pp.72-78
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    • 1996
  • 단면적 평가를 위한 회귀분석 프로그램 COVAFIT를 개발하고 이를 실험 결과로서 보고되는 단면적을 평가하는데 적용하였다. 가중 최소제곱 선형 회귀 방법을 적용하였는데 이 때 새로 유도한 고차 다항식을 사용하였다. 점증하는 핵자료의 공분산에 대한 요구에 부응하여, 이 프로그램은 단면적 실험치와 함께 제공되는 분산-공분산 자료를 평가에 반영할 수 있다는 특징을 가지고 있다. MeV 에너지 영역에서 천연 산소 및 $O^{16}$의 중성자 전단면적과 세 가지 $C^{11}$ 생산 반응의 양성자 반응 단면적 평가를 통하여 사용방법론의 적절성과 COVAFIT의 유용성을 확인하였다.

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Prediction of the number of public bicycle rental in Seoul using Boosted Decision Tree Regression Algorithm

  • KIM, Hyun-Jun;KIM, Hyun-Ki
    • 한국인공지능학회지
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    • 제10권1호
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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.

일부 물리치료 전공 대학생의 셀프리더십과 내재적 동기간의 관계분석 (Analyzing Correlation of Self-leadership and Intrinsic Motivation Among Some Physiotherapy Students)

  • 김은주;이한숙
    • 대한물리의학회지
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    • 제12권1호
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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.

Inference of Gene Regulatory Networks via Boolean Networks Using Regression Coefficients

  • Kim, Ha-Seong;Choi, Ho-Sik;Lee, Jae-K.;Park, Tae-Sung
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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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.

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무기체계 SW 동적시험 회귀시험 자동화 프로그램 개발 (Development of the program automating regression test of dynamic test of weapon system software)

  • 차상철;김정열
    • 한국항공우주학회지
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    • 제45권10호
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    • pp.892-897
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    • 2017
  • 무기체계 SW 개발 전반에 대한 규정인 방위사업청의 무기체계 SW 개발 및 관리 매뉴얼이 개정될 때마다 SW 신뢰성 및 품질향상을 위해 SW 신뢰성 시험의 수준과 범위를 상향하는 방향으로 변경됨에 따라 SW 신뢰성 시험은 SW 개발자에게 큰 부담이 되고 있다. 특히 동적시험은 무기체계 SW를 구현하는데 필요한 일정과 인력에 육박할 정도의 비용이 소요되고 있으며, 1회성으로 그치지 않고 소스코드 형상이 변경될 때마다 수행해야 한다. 본 논문에서는 동적시험 도구인 VectorCast를 이용하여 동적시험을 최초 1회 수행한 후 소스코드 형상변경으로 인한 동적시험 회귀시험 시 사람의 개입을 최소화하여 자동으로 회귀시험을 수행하고 결과 보고서를 생성해주는 회귀시험 자동화 프로그램인 VectorCast Environment Manager 개발에 대해서 기술한다.

데이터 마이닝을 활용한 장기저장탄약 상태 결정요인 분석 연구 (A Study on Determinants of Stockpile Ammunition using Data Mining)

  • 노유찬;조남욱;이동녁
    • 품질경영학회지
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    • 제48권2호
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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.

The Effect of Vitamin D and Calcium on Cognitive Function and Depression in the Elderly Living in a City

  • Lee, Yu-Jin;Kim, Yun-Su
    • 지역사회간호학회지
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    • 제28권3호
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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.