• Journal of the Korean Society of Safety
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• v.32 no.1
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• pp.134-139
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• 2017

This study has been performed to investigate the risk perceptions of employees in nuclear power plants. A representative sample of 473 employees was surveyed(about 79% response rate). The questionnaire included scales on both risk perceptions of critical five hazards that could be occurring in the nuclear power plants and two psychometric attitudes. Higher risk perceptions between managers and non-managers to five hazards used in this study were entirely obtained from the managers. It was also found that the perceived higher hazards were in the following order: radiation exposure, radioactive release, explosion, fire and radioactive waste. For the controllability, higher risk perceptions to the all factors were obtained from the managers, and higher ones were non-managers in the dread.

• Journal of Korean Critical Care Nursing
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• v.3 no.2
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• pp.37-48
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• 2010

Purpose: The purpose of this study was to examine the frequency and the course of delirium, and identify risk factors for the development of delirium in surgical intensive care unit (SICU). Methods: Subjects older than 19 years admitted to the SICU were recruited. After informed written consent, enrolled subjects had baseline cognitive and functional assessments. Subjects were assessed daily for delirium using the Confusion Assessment Method-ICU (CAM-ICU). Results: During the study period, 110 patients were enrolled. The overall incidence of delirium was 20% (22/110). The average time to onset of delirium was 3.04(${\pm}1.25$) days. Several variables were associated with an increased risk of delirium including older age (p<.05), higher admission APACHE II score (p<.001), use of opioid and analgesics (p<.01), using physical restraints (p<.001), and intraoperative hypotension (p<.05). In a multivariate logistic regression model, using physical restraints (p<.001), intraoperative hypotension (p<.05), and older age (p<.05) remained significant predictors of the delirium development. Conclusion: Using physical restraints, intraoperative hypotension and older age was strongly associated with development of delirium in the SICU. Prevention measures need to focus on identifying patients at higher risk for delirium development.

• Journal of Trauma and Injury
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• v.35 no.1
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• pp.25-33
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• 2022

Purpose: The scoring system for traumatic liver injury (SSTLI) was developed in 2015 to predict mortality in patients with polytraumatic liver injury. This study aimed to validate the SSTLI as a prognostic factor in patients with polytrauma and liver injury through a generalized estimating equation analysis. Methods: The medical records of 521 patients with traumatic liver injury from January 2015 to December 2019 were reviewed. The primary outcome variable was in-hospital mortality. All the risk factors were analyzed using multivariate logistic regression analysis. The SSTLI has five clinical measures (age, Injury Severity Score, serum total bilirubin level, prothrombin time, and creatinine level) chosen based on their predictive power. Each measure is scored as 0-1 (age and Injury Severity Score) or 0-3 (serum total bilirubin level, prothrombin time, and creatinine level). The SSTLI score corresponds to the total points for each item (0-11 points). Results: The areas under the curve of the SSTLI to predict mortality on post-traumatic days 0, 1, 3, and 5 were 0.736, 0.783, 0.830, and 0.824, respectively. A very good to excellent positive correlation was observed between the probability of mortality and the SSTLI score (γ=0.997, P<0.001). A value of 5 points was used as the threshold to distinguish low-risk (<5) from high-risk (≥5) patients. Multivariate analysis using the generalized estimating equation in the logistic regression model indicated that the SSTLI score was an independent predictor of mortality (odds ratio, 1.027; 95% confidence interval, 1.018-1.036; P<0.001). Conclusions: The SSTLI was verified to predict mortality in patients with polytrauma and liver injury. A score of ≥5 on the SSTLI indicated a high-risk of post-traumatic mortality.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.354-360
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• 2009

The demands for large-scale construction projects such as Mega-projects are largely increasing due to the rapid growth of increasing populations as well as the need to replace existing buildings and infrastructure. Increasing costs of materials, supplies, and labors require the first cost estimates at the preliminary planning stage to be as accurate as possible. This paper presents the results obtained from the survey on evaluating nine critical success factors that influence the accurate first cost estimates for large-scale projects from practical experiences. It then examines the current cost structures of construction companies for large-scale projects, followed by the causes for cost and schedule overrun. Twenty completed surveys were collected and the Analytic Hierarchy Process was applied to analyze the data. The results indicate that technology issues, the contract type, and social and environmental impacts are the significant leading factors for accurate first cost estimates of large-scale construction projects.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.4
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• pp.37-44
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• 2019

According to the statistical surveys and studies, insufficient maintenance in the use of existing buildings caused fire and collapse accidents. In this respect, I analyzed the data managed by the current building maintenance and inspection system to find out the actual state of safety management and proposed two significant results. First, regarding the state of the buildings, the safety management status of the small-sized ones, where 20 years or more passed after construction, is the worst and a priority improvement plan is required. Second, there are eight deeply concerning factors for the fire incidents and collapse accidents of buildings. In the order of high risk, these factors are structural strength (seismic design), exterior wall finishing material, basement floor, interior finishing materials, other evacuation facilities, corridors stairs entrances, rooftop, fire partition. We need to have more special designs and management plans regarding high-risk factors as a system to prevent accidents in the building.

• Journal of the Korean Society of Safety
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• v.29 no.1
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• pp.80-85
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• 2014

A survey of risk perception in South Korea was conducted in 2007 to evaluate relative riskiness of typical industrial and technological risks. This article summarizes the characteristics of risk perception using psychometric analyses. The survey with a sample size of 1,194 reviews the perceived level of 25 risk items in the areas of transportation, chemicals, environment, industry, nuclear power generation, and newly-introduced risks. Six categories of risk identified by a factor analysis show that the level of perceived risk does not correspond to the statistical level. Psychometric analyses including voluntariness, severity, effect manifestation, exposure pattern, controllability, familiarity, benefit and necessity demonstrate that voluntary, familiar and immediate risks are perceived as less risky than involuntary, unfamiliar and delayed ones. Risk communication is critical in reducing the discrepance between objective and subjective level of risk. However, the amount of risk information does not always justify a successful risk communication. A safety policy, risk communication strategy in particular, should take into account diverse dimensions of risk reviewed by psychometric analyses in the study. Social policy toward safety can be improved by integrating policy, human, and social factors as well as technological advances.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.365-384
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• 2008

Many studies on ASP outsourcing area have focused on the Critical Success Factors(CSFs) of ASP outsourcing projects or on the service quality of ASP Service. But these studies have limitations to explain how to succeed in doing ASP outsourcing project. The objective of this research is to overcome this limitation by using the concept of "IT Risk" in Outsourcing. The effective control of the risks-caused during the IS outsourcing process-gives (ASP service using) users a powerful tool to minimize the risks and thus maximizes the possibility of ASP outsourcing project success. In order to perform this objective, this research set up the research model which is composed of three concepts. The three concepts are 1. Undesirable Outcomes(:UO) as IT outsourcing Risks, 2. The Source of Risks(:SOR) influencing the UO, and 3. the intention to get/execute Real Option Portfolio to control the risk level of SORs and UOs. This research has some important and interesting implications on the ASP outsourcing area. First, this research classifies the risk factors as three concepts and finds the interactions among them. Second, Using Real Option portfolio can control the risks effectively occurred during outsourcing projects. Third, Vendors(ASP service providers) can offer users IN TIME the options which can minimize the occurrence of risks.

• Journal of Trauma and Injury
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• v.36 no.3
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• pp.187-195
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• 2023

Purpose: This study aimed to determine the risk factors associated with the severity of fall-related injuries among patients who suffered a fall from similar heights and analyze differences in injury sites according to intentionality and injury severity. Methods: The Emergency Department-based Injury In-depth Surveillance (EDIIS) data collected between 2019 and 2020 were used in this retrospective study. Patients with fall-related injuries who fell from a height of ≥6 and <9 m were included. Patients were categorized into the severe and mild/moderate groups according to their excessive mortality ratio-adjusted Injury Severity Score (EMRISS) and the intention and non-intention groups. Injury-related and outcome-related factors were compared between the groups. Results: In total, 33,046 patients sustained fall-related injuries. Among them, 543 were enrolled for analysis. A total of 256 and 287 patients were included in the severe and mild/moderate groups, respectively, and 93 and 450 patients were included in the intention and non-intention groups, respectively. The median age was 50 years (range, 39-60 years) and 45 years (range, 27-56 years) in the severe and mild/moderate groups, respectively (P<0.001). In multivariable analysis, higher height (odds ratio [OR] 1.638; 95% confidence interval [Cl], 1.279-2.098) and accompanying foot injury (OR, 0.466; 95% CI, 0.263-0.828) were independently associated with injury severity (EMR-ISS ≥25) and intentionality of fall (OR, 0.722; 95% CI, 0.418-1.248) was not associated with injury severity. The incidence of forearm injuries was four (4.3%) and 58 cases (12.9%, P=0.018) and that of foot injuries was 20 (21.5%) and 54 cases (12.0%, P=0.015) in the intention versus non-intention groups, respectively. Conclusions: Among patients who fell from a similar height, age, and fall height were associated with severe fall-related injuries. Intentionality was not related to injury severity, and patients with foot injury were less likely to experience serious injuries. Injuries in the lower and upper extremities were more common in intentional and unintentional falls, respectively.

• Journal of Food Hygiene and Safety
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• v.16 no.2
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• pp.103-110
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• 2001

Predictive food microbiology(PFM) is an emerging area of food microbiology since the later 1980’s. It does apply mathematical models to predict the responses of microorganism to specified environmental variables. Although, at present, PFM models do not completely developed, models can provide very useful information for microbiological responses in HACCP(Hazard Analysis Critical Control Point) system and Risk Assessment. This study illustrates the possible use of PFM models(PMP: Pathogen Modeling Program win5.1) with milk in several elements in the HACCP system, such as conduction of hazard analysis and determination of CCP(Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage fixed factors were pH 6.7, Aw 0.993 and NaCl 1.3%. PMPwin5.1 calculated generation time, lag phase duration, time to level of infective dose for pathogens across a range of storage (Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The variable factor was storage temperature at the range of 4~15$^{\circ}C$ and the fixed factors were pH 6.7, Aw 0.993 and NaC 1.3%. PMPwin5.1 calculated generation time, lag phase duration, time to level of infective dose for pathogens across a range of storage temperature.

• Journal of Communications and Networks
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• v.16 no.6
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• pp.667-676
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• 2014

Connectivity is a crucial quality of service measure in wireless sensor networks. However, the network is always at risk of being split into several disconnected components owing to the sensor failures caused by various factors. To handle the connectivity problem, this paper introduces an in-advance mechanism to prevent network partitioning in the initial deployment phase. The approach is implemented in a distributed manner, and every node only needs to know local information of its 1-hop neighbors, which makes the approach scalable to large networks. The goal of the proposed mechanism is twofold. First, critical nodes are locally detected by the critical node detection (CND) algorithm based on the concept of maximal simplicial complex, and backups are arranged to tolerate their failures. Second, under a greedy rule, topological holes within the maximal simplicial complex as another potential risk to the network connectivity are patched step by step. Finally, we demonstrate the effectiveness of the proposed algorithm through simulation experiments.