• 제목/요약/키워드: Predictor importance

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Family Factors Influencing Korean Mothers' Postpartum Depression

  • Kim, Sang Lim;Yang, Sungeun
    • International Journal of Advanced Culture Technology
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    • 제6권4호
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    • pp.45-51
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    • 2018
  • The purpose of the study was to examine the effects of family related factors (mothers' self-esteem, mothers' parenting stress, mothers' marital satisfaction, fathers' parenting involvement, and social support) on mothers' postpartum depression. The subjects were 797 households that were extracted from the $1^{st}$ wave of the Panel Study of Korean Children (PSKC). The study variables were measured using the survey questionnaires, and analyses of Pearson's correlation and multiple regression were conducted. Results showed that family related factors significantly predicted mothers' postpartum depression. Moreover, the most significant predictor was mothers' parenting stress, followed by marital satisfaction, self-esteem, fathers' parenting involvement, and social support. Study findings indicate that mothers' postpartum depression is attributed to not only personal but also family related factors. Our results suggest importance of parent education and family support along with social support.

Cumulus and granulosa cell biomarkers: a good predictor for successful oocyte and embryo developmental competence in human in vitro fertilization

  • Yu, Eun Jeong;Lyu, Sang Woo
    • Journal of Genetic Medicine
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    • 제18권1호
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    • pp.1-7
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    • 2021
  • The oocyte quality is of great importance in infertility as it reflects the follicle developmental potential and further affects the embryo development, clinical pregnancy outcomes. The analysis of gene expression in somatic cells is an important study to better clinical in vitro fertilization (IVF) outcomes in embryo selection reflecting the appropriate communication between the oocyte and somatic cells. Specifically, somatic cell transcriptomic technology can help assess biomarkers of oocyte and embryo ability. The present article aims to overview the basic aspect of folliculogenesis and review studies involving changes in candidate gene expression of cumulus or granulosa cell related to clinical outcomes in human IVF.

An Exploratory Study on Chinese Females' Social Media Self-Presentation: A Case Study of WeChat

  • Yang, Ting;Seo, Sangho
    • Asian Journal for Public Opinion Research
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    • 제10권3호
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    • pp.230-253
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    • 2022
  • Based on Goffman's dramaturgical theory and self-objectification framework, this study examined: 1) Chinese female's WeChat self-presentation, 2) the impact of WeChat usage on female self-objectification, and 3) the impact of self-objectification on WeChat self-presentation tactics. An online survey was conducted. The main findings include: 1) most of the participants chose to beautify their pictures and videos before they posted them, 2) the respondents attached higher importance to appearance-based body attributes than competence-based ones, 3) the most frequently applied self-presentation tactic was ingratiation, 4) WeChat usage was not a predictor of Chinese women's self-objectification, and, 5) along with extroversion, self-objectification had an impact on ingratiation, supplication, self-promotion, and exemplification. Meanwhile, use of the electronic curtain and audience sifting to control who can see a post and for how long demonstrated the empowerment of the users when they conduct self-presentation.

Evaluating Geographic Differences in Electricity Burdens: An Analysis of Socioeconomic and Housing Characteristics in Erie County, New York

  • Nolan W. Kukla
    • Asian Journal of Innovation and Policy
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    • 제12권1호
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    • pp.101-130
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    • 2023
  • The increasing cost, and demand for, household energy has increased attention to the phenomena of energy burdens. Despite this increased attention, a lack of consensus remains in pinpointing the strongest predictors, and geographic differences, that exist within the energy ecosystem. This study addresses this gap by utilizing a series of dummy variable regressions across cities, suburbs, and rural areas within Erie County, New York-a county noted to have particularly high energy burdens. Specifically, three types of predictor sets were incorporated into the methodology: a set of socioeconomic variables, physical variables, and a combination of both variable sets. The results of this study suggest that cities tend to have the highest electricity burdens. Despite the aging infrastructure in Erie County, high energy burdens were driven primarily by socioeconomic factors such as housing cost burden and poverty status. Lastly, this study explores various planning and policy implications Erie County can utilize to reduce energy burdens. In turn, this study highlights the importance of focusing policy efforts on existing social service programs to provide support to the region's neediest households.

The Effects of the Nursing Practice Environment and Self-leadership on Person-centered Care Provided by Oncology Nurses

  • Shin, Sun-Ui;Yeom, Hyun-E
    • Journal of Hospice and Palliative Care
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    • 제24권3호
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    • pp.174-183
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    • 2021
  • Purpose: This study aimed to investigate the effects of the nursing practice environment and self-leadership on person-centered care provided by oncology nurses. Methods: This cross-sectional study included 145 nurses who worked in oncology wards at eight university hospitals in Seoul, Daejeon, and Chungcheong Province with at least six months of experience. Data were collected using a self-administered survey and analyzed using descriptive statistics, Pearson correlation coefficients, the t-test, analysis of variance, and hierarchical multiple regression analysis in SPSS version 26.0. Results: Person-centered care was significantly correlated with the nursing practice environment (r=0.27, P<0.001) and self-leadership (r=0.40, P<0.001), and the nursing practice environment was correlated with self-leadership (r=0.380, P<0.001). Hierarchical multiple regression analysis showed that the nursing practice environment was a significant predictor of person-centered care (β=0.31, P<0.001), after adjusting for covariates including monthly salary, total clinical career, and the position of oncology nurses. Self-leadership was a significant predictor of person-centered care (β=0.34, P<0.001) after controlling for the nursing practice environment, along with covariates. The final model explained 18.7% of the variance in personcentered care. Conclusion: Our findings emphasize the importance of the nursing practice environment and nurses' self-leadership for providing person-centered care in oncology care units. Educational programs to reinforce nurses' self-leadership and administrative support for nursing practice are necessary to improve oncology nurses' capability to provide person-centered care.

우세분석과 회귀분석을 통한 창업지원서비스 만족도 영향요인들의 상대적 중요도 비교 (An Application of Dominance Analysis and Regression Analysis for Determining the Relative Importance of Critical Factors in Satisfaction of Start-up Support Service Program)

  • 변충규;하환호
    • 벤처창업연구
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    • 제8권3호
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    • pp.67-76
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    • 2013
  • 본 연구에서는 예비기술창업자들을 대상으로 창업지원서비스에 대한 만족도를 측정하고, 세부 요인들의 상대적 중요도를 분석하였다. 만족도 측정에는 물리적 설비 지원, 인적자원 지원, 마케팅 지원, 재무 회계 지원, 제품개발 지원 등 5개의 요인을 사용하였다. 만족도 측정결과, 재무 회계 지원 서비스, 물리적 설비 지원 서비스 순으로 만족도가 높게 나타났다. 다중공선성이 존재할 때, 회귀분석을 통해 독립변수들의 상대적 중요도를 파악하는 데는 문제가 있다는 지적이 있어 우세분석을 이용하여 상대적 중요도를 분석하였다. 그리고 그 결과를 회귀분석을 통해 구한 상대적 중요도와 비교해 보았다. 우세분석 결과에서는 제품개발 지원의 상대적 중요도가 가장 높게 나타난 반면, 회귀분석 결과에서는 물리적 설비 지원에 대한 상대적 중요도가 가장 높은 것으로 나타났다. 이러한 비교를 통해 독립변수들 간의 상대적 중요도 차이를 확인하였다. 창업동기별로 창업지원서비스에 대한 만족도와 상대적 중요도를 비교해본 결과에서는 필요형 창업과 기회형 창업별로 만족도와 상대적 중요도가 다르다는 사실도 확인할 수 있었다. 마지막에는 이를 바탕으로 연구의 시사점과 한계점을 제시하였다.

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부분최소자승법과 인공신경망을 이용한 고분자전해질 연료전지 스택의 모델링 (Modeling of a PEM Fuel Cell Stack using Partial Least Squares and Artificial Neural Networks)

  • 한인수;신현길
    • Korean Chemical Engineering Research
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    • 제53권2호
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    • pp.236-242
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    • 2015
  • 고분자전해질 연료전지 스택의 성능 및 주요 운전 변수를 예측하기 위해 부분최소자승법과 인공신경망의 두 가지 데이터 기반 모델링 기법을 제시한다. 30 kW급 고분자전해질 연료전지 스택 실험으로부터 확보한 데이터를 사용하여 부분최소자승 및 인공신경망 모델들을 구성한 후 각 모델의 예측 성능 및 계산 시간을 비교하였다. 모델의 복잡성을 줄이기 위해 부분최소자승법에 기초한 VIP(Variable Importance on PLS Projections) 선정기준을 모델링 절차에 포함하여, 초기 입력변수의 집합으로부터 모델링에 필요한 입력변수들을 선정하였다. 모델링 결과, 인공신경망이 스택의 평균 셀전압과 캐소드(cathode) 출구 온도를 예측하는데 있어서, 부분최소자승법 보다 우수한 성능을 보였다. 그러나 부분최소자승법 또한 입력변수와 출력변수 간에 선형적 상관관계만을 모델링 할 수 있음에도 불구하고 비교적 만족할 만한 예측 성능을 나타냈다. 모델의 정확도와 계산속도의 요구조건에 따라 두 모델링 기법은 고분자전해질 연료전지의 설계 및 운전 분야의 성능 예측, 온라인 및 오프라인 최적화, 제어 및 이상 진단을 위해 적용될 수 있을 것으로 판단된다.

소비자의 쇼핑성향과 소매점속성이 소매점 애고의도에 미치는 영향 (The Influence of Shopping Orientation and Store Attribute on Store Patronage Intentions)

  • 남미우;김광경
    • 대한가정학회지
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    • 제42권12호
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    • pp.161-174
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    • 2004
  • The primary objective of this study was to employ Darden's store patronage model in order to investigate the role that shopping orientation and store attributes play in store patronage. The study sample consisted of 340 female university students residing in Seoul. The data was analyzed by using path analysis and factor analysis. The recreational shopping orientation played a greater role in influencing the importance of store attributes than did the convenience shopping orientation. Recreational shoppers want a variety of brands and convenience shoppers can be attracted by a convenient location and availability of parking. Six important store attributes(variety of products and price level, proximity, variety of trendy brands, store decor, sales promotion, sales personnel) have a differential influence on store patronage. Shopping orientation was a direct predictor of patronage behavior and mediated the relationship between shopping orientation and store attribute importance. The finding indicated that both the recreational shopping orientation and convenience shopping orientation can be used effectively to position store patronage in such a way as to provide a strong means for shoppers to satisfy their needs. The findings of this study demonstrated that South Korean female shoppers with different shopping orientation have different store attribute preference and store patronage. The results provide a basis for building a successful strategy to attract shoppers and generate sales. The study focused on a specific product category, i.e., women's apparel. To meet the needs of female apparel shoppers, further research is needed to learn more about the distinctive characteristics of Korean consumers that could be applied to a variety of jobs, ages and living areas.

머신러닝을 활용한 대학생 중도탈락 위험군의 예측모델 비교 연구 : N대학 사례를 중심으로 (A Comparative Study of Prediction Models for College Student Dropout Risk Using Machine Learning: Focusing on the case of N university)

  • 김소현;조성현
    • 대한통합의학회지
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    • 제12권2호
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    • pp.155-166
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    • 2024
  • Purpose : This study aims to identify key factors for predicting dropout risk at the university level and to provide a foundation for policy development aimed at dropout prevention. This study explores the optimal machine learning algorithm by comparing the performance of various algorithms using data on college students' dropout risks. Methods : We collected data on factors influencing dropout risk and propensity were collected from N University. The collected data were applied to several machine learning algorithms, including random forest, decision tree, artificial neural network, logistic regression, support vector machine (SVM), k-nearest neighbor (k-NN) classification, and Naive Bayes. The performance of these models was compared and evaluated, with a focus on predictive validity and the identification of significant dropout factors through the information gain index of machine learning. Results : The binary logistic regression analysis showed that the year of the program, department, grades, and year of entry had a statistically significant effect on the dropout risk. The performance of each machine learning algorithm showed that random forest performed the best. The results showed that the relative importance of the predictor variables was highest for department, age, grade, and residence, in the order of whether or not they matched the school location. Conclusion : Machine learning-based prediction of dropout risk focuses on the early identification of students at risk. The types and causes of dropout crises vary significantly among students. It is important to identify the types and causes of dropout crises so that appropriate actions and support can be taken to remove risk factors and increase protective factors. The relative importance of the factors affecting dropout risk found in this study will help guide educational prescriptions for preventing college student dropout.

간호사의 주사바늘자상 예방행위관련 변인들 간의 구조모형 분석 (Structural Relationship of Variables Regarding Nurse's Preventive Action against Needle Stick Injury)

  • 주현정;이지현
    • 한국간호교육학회지
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    • 제21권2호
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    • pp.168-181
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    • 2015
  • Purpose: This study was conducted to determine the factors affecting the prevention of needle stick injury. Methods: Data collection was conducted during the period July 15-31, 2013 by a self-administered questionnaire involving 220 nurses working in 7 hospitals. The data was analyzed by SPSS v18 and AMOS v18. Results: Actions by nurses to prevent needle stick injury were directly and indirectly influenced by perceived benefits, attitude toward the behavior, perceived behavioral control, and intention underlying the behavior. Specially, perceived behavioral control is verified to have not only direct influence but also indirect influence on the performance of preventive action through the intention underlying the behavior. Also, perceived benefits indirectly influence the intention toward the behavior and performance of preventive action through attitude toward the behavior and perceived behavioral control. The predictor variables in this model are 52% explicable in terms of intention of prevention action against needle stick injury, and 66% explicable in terms of performance of preventive action. Conclusion: To ensure high performance of preventive action against needle stick injury, constructing not only the solution that inspires the intention toward behavior but also a system that can positively solve and improve obstructive factors in behavioral performance is of primary importance.