• 한국노년학
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• v.38 no.4
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• pp.1107-1125
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• 2018

The purpose of this study was to present the empirical data for the prevention of suicide by analyzing the group differences according to the types of risk factors and protective factors of family members living with dementia patients and the effects of each type on suicidal ideation. This study investigated the characteristics of suicidal ideation among family members of people living with dementia by using a community health survey. It then investigated the effect of each latent group on the suicidal ideation of family members of people living with dementia. Twenty-four risk and protective factors on suicide ideation were analyzed by using Mplus. The four latent classes were high risk - low protective, high risk - high protective, low risk - high protective and low risk - low protective. Multivariate logistic regression analysis showed that the high risk-low protective factor group had the highest suicidal ideation. Based on these results, practical implications and challenges were presented.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.11a
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• pp.212-213
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• 2014

The purpose of this study is to suggest analysis model of RCB construction in nuclear power plant. For the objective, This study drew the risk factors of RCB construction from existing literature. The results of the study proposed analysis model made hierarchy in rebar, form, and concrete work. These will be baseline data for risk management in construction project of nuclear power plant.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.539-550
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• 2014

The purpose of this study was to find whether ego-resilience shows mediating effects between risk factors and Juvenile Delinquency. The data was conducted by using the multiple regression analysis. The results of the study were as follows: First, correlations among variables of risk factors and ego-resilience on subordinate variable of Juvenile Delinquency were significant. Second, the personal risk factors and ego-resilience have a significant influence on Juvenile Delinquency, and ego-resilience showed mediating effects between the personal risk factors and Juvenile Delinquency. Third, school related risk factors and ego-resilience have a significant influence on Juvenile Delinquency, and ego-resilience showed mediating effects between school related factors and Juvenile Delinquency.

• Korean Journal of Clinical Pharmacy
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• v.16 no.1
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• pp.14-22
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• 2006

Purpose: To determine the short (1 year of transplant) and long-term (1-5 years of transplantation) risk factors affecting the graft and patient survival in kidney transplantation recipients. Methods: Records of 149 patients who received kidney transplantation in 1996 from Asan Medical Center were followed for 5 years retrospectively. Results: All patients initiated triple immunosuppressive therapy with cyclosporine, prednisone and azathioprine. One, two, three, four, five year patient and graft survival rates were 98.7%, 98.0%, 98.0%, 97.3%, 97.3%, and 96.6%, 95.2%, 94.6%, 92.5%, 91.8%, respectively. There were 30 cases of acute rejection (AR) and 6 cases of chronic rejection (CR) within $2.1{\pm}3.2$ months and $42.1{\pm}13.2$ months of transplantation, respectively. The risk factors for AR were donor's age older than 30 years (p=0.02) and cardiovascular disease (p=0.05). The risk factors for CR were AR (p=0.0169) and episode of complications (p=0.0330). Increasing period of dialysis (p=0.0473), episodes of AR (p<0.0001) and complication (p=0.0317) were significant factors for graft loss. Seven grafts were lost from noncompliance during 1-5 year period. The most com- mon cause of the graft loss for both periods was the graft rejection. The graft survival rate was significantly lower in patients with than without rejection episodes (77.4% vs. 90.0%, p=0.002). Conclusions: Survival rate of the graft with rejection was significantly lower. The risk factors affecting AR were donor's age older than 30years and CVD. AR and episode of complications within 1year were the risk factors for CR and graft loss.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.30 no.3
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• pp.292-298
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• 2020

Objectives: The aim of this research is to establish Similar Exposure Groups (SEGs) for chemical and biological risk factors that occur in farm work involving 24 tasks among 15 crops. Methods: To categorize SEGs, work type, work environment, and similar tasks for each crop were considered. After confirming the chemical risk factors (pesticides, inorganic dust-total dust and PM₁₀, ammonia, and hydrogen sulfide) and biological factors (organic dust-total dust and PM₁₀, and endotoxins) that occur in the crops and tasks, similar crops and tasks were selected as SEGs. Results: Among chemical risk factors, pesticides was selected for the SEGs, which was categorized by open field, greenhouse, fruit, and specialty crops. For inorganic dust, open field (plowing harrowing, seedling, planting, harvest, and sorting and packing) and specialty crops (plowing harrowing, seedling, planting, and harvest) were selected as SEGs. For ammonia and hydrogen sulfide, livestock (preparation of farm, management of nursery bed, feeding, shipment and manure treatment) were selected as SEGs. For biological risk factors such as organic dust (total dust, PM₁₀) and endotoxins, open field (manure application), greenhouse (plowing harrowing, planting, manure application, and harvest), fruit (manure application), specialty crops (manure application, making furrows, mixing mushroom media, harvest, and sorting and packing), and livestock (preparation of farm, maintaining poultry litter, feeding, shipment and manure treatment) were selected as SEGs. Conclusions: To establish similar exposure groups in agriculture, it is important that the characteristics of each hazard factor are categorized by identifying risk factors occurring by tasks.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.397-402
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• 2013

In super-tall building construction projects, schedule risk factors which vertically change and are not found in the low and middle-rise building construction influence duration of a project by vertical attribute; and it makes hard to estimate activity or overall duration of a construction project. However, the existing duration estimating methods, that are based on quantity and productivity assuming activities of the same work item have the same risk and duration regardless of operation space, are not able to consider the schedule risk factors which change by the altitude of operation space. Therefore, in order to advance accuracy of duration estimation of super-tall building projects, the degree of changes of these risk factors according to altitude should be analyzed and incorporated into a duration estimating method. This research proposes a simulation model using Monte Carlo method for estimating activity duration incorporating schedule risk factors by weather conditions in a super-tall building. The research process is as follows. Firstly, the schedule risk factors in super-tall building are identified through literature and expert reviews, and occurrence of non-working days at high altitude by weather condition is identified as one of the critical schedule risk factors. Secondly, a calculating method of the vertical distributions of the weather factors such as temperature and wind speed is analyzed through literature reviews. Then, a probability distribution of the weather factors is developed using the weather database of the past decade. Thirdly, a simulation model and algorithms for estimating non-working days and duration of each activity is developed using Monte-Carlo method. Finally, sensitivity analysis and a case study are carried out for the validation of the proposed model.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.4
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• pp.417-428
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• 2020

The characteristics of the construction project involved various stakeholders' involvement from the planning stage until completion of the object, which caused the uncertainty to increase. Successful construction projects require risk analysis and appropriate responses. Therefore, this study aimed to confirm the influence of risk management factors on the success of river disaster prevention construction in construction projects and the effect of moderating communication between stakeholders involved in the construction process. The Delphi method was used to derive the risk management factors of the construction process. The survey used a snow ball sampling method. For analysis, SPSS Statistic 20 and SmartPLS 2.0 were used. As a result of the study, the impact of risk management factors on project performance was found to be large in the order of time risk, quality risk, cost risk, safety risk, and construction environment risk. In addition, the impact of the communication moderating effect was large in the order of cost risk, quality risk, construction environment risk, time risk, and safety risk. In this study, it was confirmed that communication between stakeholders related to river disaster prevention work has a moderating effect that changes the ranking of impacts on project performance. This shows the importance of communication in the construction process of river disaster prevention works. This study has important significance in that it identifies the importance of risk management factors and communication in river disaster prevention works.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.97-105
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• 2011

As many stakeholders are taking part in the Housing Redevelopment Project, their opinion mediation is considering very important issues. Thus disputes on projects are inevitable due to complexity of interest. To effectively progress the project, this paper analyze the risk factors by phase in implementation phase that the association participates in person. We identify 50 of risk factors in implementation phase by reviewing and analyzing related studies and actual cases of disputes, then we present 26 of risk factors through experts interview. Also, we calculate weights of risk factors by using AHP for quantitatively analyzing them and present final weights and priorities of risk factors by summing weights of risk factors by phase. In results, it is found that 'the inappropriateness of the Management Disposal Plan' in management disposal plan phase and 'the inappropriateness of the Project Implementation Plan' are the most significant risk factors. To maximize the utilization of risk factors analyzed, we present the checklists that can be aware of these risks in advance and prevent these risks. Based on these findings, if risk factors in implementation phase are managed actively, the housing redevelopment project will be performed more effectively.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.22-31
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• 2018

Due to the inherent risk factors of the remodeling projects, the remodeling project is failing frequently, and schedule delay are occurring in most remodeling projects. The risk factors that cause the delays in these remodeling projects are not common to all remodeling projects, and the likelihood of risk factors will be affected by the various characteristics of the project. In this context, based on the results of a reliable survey conducted on 29 construction managers who have performed remodeling projects, this research analyzes (1) "importance of each characteristic", which means how frequently the characteristics of the remodeling project affect the occurrence of risk factors, (2) "the likelihood of delay risk factors for remodeling projects", which assesses which risk factors are most likely to occur, and 3) "the level of effect of project characteristics that affects the occurrence of each risk factor." Through this study, the relationship between various characteristics of the office building remodeling projects and the delay risk factors was analyzed in various aspects, in further, it is expected that the owner planning the remodeling will be able to grasp the delay risk that is likely to occur according to the characteristics of the project in advance.