• Title/Summary/Keyword: risk response

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Methods for Nonlinear Structural Response Analysis of Offshore Structures with Passive Fire Protection under Fires (해양플랜트 구조물의 화재 사고 시 PFP 효과를 고려한 비선형 구조응답 해석 기법에 대한 연구)

  • Kim, Jeong Hwan;Lee, Dong Hun;Ha, Yeon Chul;Kim, Bong Ju;Seo, Jung Kwan;Paik, Jeom Kee
    • Journal of Ocean Engineering and Technology
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    • v.28 no.4
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    • pp.294-305
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    • 2014
  • In offshore structures, fire is one of the most important hazardous events. The concern of fires has recently been reflected in the rules and quantified risk assessment based design practice. Within the framework of quantified risk assessment and the management of offshore installations, therefore, more refined computations of the consequences or hazardous action effects due to fire are required. To mitigate fire risk, passive fire protection(PFP) is widely used on offshore structures. This study presents methods for a nonlinear structural response analysis considering the PFP effects under fires. It is found that a structural response analysis is most likely to use valuable technology for the optimization and design of offshore structures with PFP. Thermal and structural response analyses have been performed using LS-DYNA and FAHTS/USFOS. The results of these structural response analyses are compared with each other.

Occupational Exposure to Knee Loading and the Risk of Osteoarthritis of the Knee: A Systematic Review and a Dose-Response Meta-Analysis

  • Verbeek, Jos;Mischke, Christina;Robinson, Rachel;Ijaz, Sharea;Kuijer, Paul;Kievit, Arthur;Ojajarvi, Anneli;Neuvonen, Kaisa
    • Safety and Health at Work
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    • v.8 no.2
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    • pp.130-142
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    • 2017
  • Background: Osteoarthritis of the knee is considered to be related to knee straining activities at work. The objective of this review is to assess the exposure dose-response relation between kneeling or squatting, lifting, and climbing stairs at work, and knee osteoarthritis. Methods: We included cohort and case-control studies. For each study that reported enough data, we calculated the odds ratio (OR) per 5,000 hours of cumulative kneeling and per 100,000 kg of cumulative lifting. We pooled these incremental ORs in a random effects meta-analysis. Results: We included 15 studies (2 cohort and 13 case-control studies) of which nine assessed risks in more than two exposure categories. We considered all but one study at high risk of bias. The incremental OR per 5,000 hours of kneeling was 1.26 (95% confidence interval 1.17-1.35, 5 studies, moderate quality evidence) for a log-linear exposure dose-response model. For lifting, there was no exposure dose-response per 100,000 kg of lifetime lifting (OR 1.00, 95% confidence interval 1.00-1.01). For climbing, an exposure dose-response could not be calculated. Conclusion: There is moderate quality evidence that longer cumulative exposure to kneeling or squatting at work leads to a higher risk of osteoarthritis of the knee. For other exposure, there was no exposure dose-response or there were insufficient data to establish this. More reliable exposure measurements would increase the quality of the evidence.

Meta Analysis of Variables related to Emotional Labor of Hospital Nurses (병원 간호사의 감정노동 관련 변인에 관한 메타분석)

  • Kim, Jong Kyung;Kim, Jung-Hee
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.23 no.2
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    • pp.115-125
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    • 2016
  • Purpose: The purpose of this study was to use meta-analysis to evaluate factors and variables related to the emotional labor of hospital nurses. Method: The study included variables obtained from 66 recently published studies, doctoral dissertations, and master's theses. Results: The related variables were categorized into five factor groups: internal character factor, nursing care related factor, environmental factor, emotional response, and job response. For the defensive variable, job related response (effect size [ES]=-.17), environment (ES=-.14), internal character (ES=-.08), nursing care (ES=-.06), and emotional response (ES=-.06) showed significant effect size among the five categorized variable groups. For the risk variable, internal character (ES=.44), emotional response (ES=.46), environment (ES=.27), job related response (ES=.27), and nursing care (ES=.19) showed significant effect size among the five categorized variable groups. Conclusion: The results of this study identified defensive and risk variables related to emotional labor of hospital nurses. Self-efficacy, social support, leaders' care, and communication are important factors for managing emotional labor of hospital nurses.

Estimating dose-response curves using splines: a nonparametric Bayesian knot selection method

  • Lee, Jiwon;Kim, Yongku;Kim, Young Min
    • Communications for Statistical Applications and Methods
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    • v.29 no.3
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    • pp.287-299
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    • 2022
  • In radiation epidemiology, the excess relative risk (ERR) model is used to determine the dose-response relationship. In general, the dose-response relationship for the ERR model is assumed to be linear, linear-quadratic, linear-threshold, quadratic, and so on. However, since none of these functions dominate other functions for expressing the dose-response relationship, a Bayesian semiparametric method using splines has recently been proposed. Thus, we improve the Bayesian semiparametric method for the selection of the tuning parameters for splines as the number and location of knots using a Bayesian knot selection method. Equally spaced knots cannot capture the characteristic of radiation exposed dose distribution which is highly skewed in general. Therefore, we propose a nonparametric Bayesian knot selection method based on a Dirichlet process mixture model. Inference of the spline coefficients after obtaining the number and location of knots is performed in the Bayesian framework. We apply this approach to the life span study cohort data from the radiation effects research foundation in Japan, and the results illustrate that the proposed method provides competitive curve estimates for the dose-response curve and relatively stable credible intervals for the curve.

Risk Situation Analysis with usage Patterns of Mobile Devices

  • Kim, Jeong-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.7
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    • pp.39-47
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    • 2018
  • This paper confirms the risk of using smartphone through the analysis of collected usage pattern and proposes the smartphone intervention system in risk situations. In order to check the risk of smartphone usage, we made information collecting application and collected smartphone usage pattern from 11 experiment participants for two months. By analyzing smartphone usage pattern, we confirmed that about 12% of smartphone usage is being used in driving, walking, and on the street. In addition, we analyzed the response rate of smartphone notification in risk situations and confirmed that user responds the smartphone notifications in real-time even in risk situations. Therefore, it is required to present a system that intervenes the use of smartphone in order to protect smartphone users in risk situations. In this paper, we classify risk situations of using smartphone. Also, the proposed smartphone intervention system is designed to periodically detect risk situations. In risk situations, smartphone function can be restricted according to user setting of smartphone. And smartphone can be used normally when safe situation is restored.

Sensitivity Analysis of Drought Impact Factors Using a Structural Equation Model and Bayesian Networks (구조방정식모형과 베이지안 네트워크를 활용한 가뭄 영향인자의 민감도 분석)

  • Kim, Ji Eun;Kim, Minji;Yoo, Jiyoung;Jung, Sungwon;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.11-21
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    • 2022
  • Drought occurs extensively over a long period and causes great socio-economic damage. Since drought risk consists of social, environmental, physical, and economic factors along with meteorological and hydrological factors, it is important to quantitatively identify their impacts on drought risk. This study investigated the relationship among drought hazard, vulnerability, response capacity, and risk in Chungcheongbuk-do using a structural equation model and evaluated their impacts on drought risk using Bayesian networks. We also performed sensitivity analysis to investigate how the factors change drought risk. Overall results showed that Chungju-si had the highest risk of drought. The risk was calculated as the largest even when the hazard and response capacity were changed. However, when the vulnerability was changed, Eumseong-gun had the greatest risk. The sensitivity analysis showed that Jeungpyeong-gun had the highest sensitivity, and Jecheon-si, Eumseong-gun, and Okcheon-gun had highest individual sensitivities with hazard, vulnerability, and response capacity, respectively. This study concluded that it is possible to identify impact factors on drought risk using regional characteristics, and to prepare appropriate drought countermeasures considering regional drought risk.

Dose-response Relationship between Serum Metabolomics and the Risk of Stroke (혈청 대사체와 뇌졸중 발생위험의 용량반응 분석)

  • Jee, Yon Ho;Jung, Keum Ji;Lim, Youn-Hee;Lee, Yeseung;Park, Youngja;Jee, Sun Ha
    • Journal of health informatics and statistics
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    • v.41 no.3
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    • pp.318-323
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    • 2016
  • Objectives: Except the known risk factors for stroke, few studies have identified novel metabolic markers that could effectively detect stroke at an early stage. In this study, we explored the dose-response relationship between serum metabolites and the incidence of stroke. Methods: We studied 213 adults in the Korean Cancer Prevention Study-II (KCPS-II) biobank and estimated dose-response relationship between serum metabolites and stroke (42 cases and 171 controls). Three serum metabolites (Acetylcholine, HexadecylAcetylGlycerol, and 1-acetyl-2-formyl-sn-glycero-3-phosphocholine) were used in this study. The analysis included (1) exploratory nonlinear analysis, (2) estimation of flexion points and slopes at below and above the points. In the model to estimate risk of incidence of stroke, we controlled for conventional risk factors such as age, sex, systolic blood pressure, type 2 diabetes, triglyceride, and smoking status. Results: The relationship between incidence of stroke and log-transformed 1-acetyl-2-formyl-sn-glycero-3-phosphocholine was non-linear with flexion point around intensity score of 8.8, whereas other metabolites, log-transformed Acetylcholine and HexadecylAcetylGlycerol, showed negative linear patterns. Conclusions: The study suggests that metabolic markers are associated with incidence of stroke, particularly, at or above the flexion point. The study result may contribute to developing a novel system for precise stroke prediction.

Risk-based Priority Ranking for Air Pollution Problems in Seoul (서울 지역에서 인체 위해도에 입각한 대기오염물질의 관리 우선 순위 선정에 관한 연구)

  • 김예신;박화성;이용진;임영욱;신동천
    • Journal of Korean Society for Atmospheric Environment
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    • v.19 no.2
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    • pp.205-216
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    • 2003
  • We have gathered exposure data on ambient air quality level and investigated dose-response slope factors of air pollutants such as fine particle, HAPs (metals, VOCs, PAHs) and dioxins in Seoul. Theoretical mortality incidences were estimated from exposure to these pollutants. From the results, priorities were ranked in the order fine particle, metals, VOCs, dioxins and PAHs by ordinal scale, and the uncertainties relative to those risk estimates were described.

Development Plan of Facility Importance, Risk, and Damage Estimation Inventory Construction for Assisting Disaster Response Decision-Making (재난대응 의사결정 지원을 위한 시설물 중요도·위험도·피해액 산정 인벤토리 구축 방안 연구)

  • CHOI, Soo-Young;GANG, Su-Myung;JO, Yun-Won;OH, Eun-Ho;PARK, Jae-Woo;KIM, Gil-Ho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.1
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    • pp.167-179
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    • 2016
  • The safety of SOC facilities is constantly under threat by the globally increasing abnormal climate. Responding to disasters requires prompt decision-making such as suggesting evacuation paths. For doing so, spatio-temporal information with convergence of disaster information and SOC facility information must be utilized. Such information is being collected separately by the government or related organizations, but not collectively. The collective control of the separately collected disaster information and the generation of SOC facility safety and damage information are required for prompt disaster response. Also, as disaster information requires spatio-temporal convergence in its nature, the construction of an inventory that integrates related information and assists disaster response decision-making is required. A plan to construct a facility importance, risk, and damage estimation inventory for assisting prompt disaster response decision-making is suggested in this study. Through this study, the disaster and SOC facility-related data, which are being managed separately, can be collected and standardized. The integrated information required for the estimation of facility importance, risk, and damage can be provided. The suggested system is expected to be used as a decision-making tool for proactive disaster response.

An Impact on Management Performance by Risk Management System and Risk Management Factor (리스크관리 체계 및 리스크관리 요인이 경영성과에 미치는 영향)

  • Jeung, Jae Hee;Ahn, Yeon S.
    • Journal of Information Technology Services
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    • v.14 no.3
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    • pp.117-129
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    • 2015
  • For the continuous growth of firms, the contributions of effective risk management system are required. This research analyzes the impact on the firm's performance related to risk management structure which includes the risk management system, risk management activity and risk management competency. In this research, the structural equation model considering the variable which contains enterprise risk management system, risk management activity and risk management competency was suggested. Also risk management organization and management procedures are identified as in enterprise risk management system. The implementation activity and control activity were the factors related in risk management activity. And risk management competency can be described as the response level of managing risk in outside and inside the firms' environment. Finally this model was analysed empirically for 112 firms in Korea using SPSS 18.0 and Amos 16.0. As the results, the suggested hypothesis were adopted. So as to manage risk performance for their firms, the development of systematic Risk Management Framework is important for their risk management activity and risk management competency. Ultimately, we can conclude that the focusing to the systematic risk management approach could be effective on the firm's risk management performance.