• Korean Journal of Environmental Biology
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• v.30 no.2
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• pp.136-142
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• 2012

Acute toxicity test of heavy metal (Cd, Cu, Zn) were examined using the hatching rates of fertilized eggs in the oliver flounder, Paralichthys olivaceus. Eggs were exposed to Cd, Cu, Zn (0, 10, 100, 500, 1000, 2500, 5000 ppb) and then normal hatching rates were investigated after 48 h. The normal hatching rates in the control condition (not including Cd, Cu and Zn) were greater than 80%, but suddenly decreased with increasing of heavy metal concentrations. Cd, Cu and Zn reduced the normal hatching rates in concentration-dependent way and a significant reduction occurred at concentration grater than 1000, 100, 100 ppb, respectively. The ranking of heavy metal toxicity was Zn>Cu>Cd, with $EC_{50}$ values of 584, 1015 and 1282 ppb, respectively. The no-observed-effect-concentration (NOEC) and the lowest-observed-effect-concentration (LOEC) showed each 100 and 500 ppb of normal hatching rates in exposed to Cu and Zn. The NOEC and LOEC of normal hatching rates in Cd were 500 ppb and 1000 ppb, respectively. From these results, the normal hatching rates of P. olivaceus have toxic effect at greater than the 100 ppb concentrations in Cu, Zn and the 500 ppb concentrations in Cd in natural ecosystems. These results suggest that biological assay using the normal hatching rates of P. olivaceus are very useful test method for the acute toxicity assessment of a toxic substance as heavy metal in marine ecosystems.

• Journal of Food Hygiene and Safety
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• v.27 no.3
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• pp.312-316
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• 2012

This study was to present the proper probability distribution models that based on the data for surveys of food cold storage temperatures as the input variables to the further MRA (Microbial risk assessment). The temperature was measured by directly visiting 7 food plants. The overall mean temperature for food cold storages in the survey was $2.55{\pm}3.55^{\circ}C$, with 2.5% of above $10^{\circ}C$, $-3.2^{\circ}C$ and $14.9^{\circ}C$ as a minimum and maximum. Temperature distributions by space-locations was $0.80{\pm}1.69^{\circ}C$, $0.59{\pm}1.68^{\circ}C$, and $0.65{\pm}1.46^{\circ}C$ as an upper (2.4~4 m), middle (1.5~2.4 m), and lower (0.7~1.5 m), respectively. Probability distributions were also created using @RISK program based on the measured temperature data. Statistical ranking was determined by the goodness of fit (GOF) to determine the proper probability distribution model. This result showed that the LogLogistic (-4.189, 5.9098, 3.2565) distribution models was found to be the most appropriate for relative MRA conduction.

• Journal of Food Hygiene and Safety
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• v.34 no.2
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• pp.199-204
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• 2019

This study aimed to generate a probability distribution model based on temperature data of frozen food storage facility as input variables for microbial risk assessment (MRA). We visited 8 food-handling businesses to collect temperature data from their cold storage warehouses. The overall mean temperature inside the storage facilities was $-20.48{\pm}3.08^{\circ}C$, with 20.4% of the facilities having above $-18^{\circ}C$, with minimum and maximum temperature values of -10.3 and $-25.80^{\circ}C$ respectively. Temperature distributions by space locations of natural and forced convection were $-22.57{\pm}0.84$ and $-17.81{\pm}1.47^{\circ}C$, $-22.49{\pm}1.05$ and $-17.94{\pm}1.44^{\circ}C$, and $-22.68{\pm}1.03$ and $-18.08{\pm}1.42^{\circ}C$ in the upper (2.4~4 m), middle (1.5~2.4 m), and lower (0.7~1.5 m) shelves, respectively. Probability distributions from the temperature data were obtained using the program @RISK. Statistical ranking was determined using goodness of fit to determine the probability distribution model. Our results show that a log-normal distribution [5.9731, 3.3483, shift (-26.4281)] is most appropriate for relative MRA conduction.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.163-173
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• 2020

For the successful execution of an ODA project, it is necessary to know what areas are weak and necessary to the country of demand exactly. The health sector is also a top priority in most of developing countries. This study was carried out to introduce non-communicable disease (NCD) in Fiji for ODA projects planning. The major causes of death in Fiji in 2016 are diabetes, ischemic heart disease, cerebrovascular disease, chronic kidney disease, lower respiratory infect, asthma in ranking. The major causes of death in Korea in same year are cancer, ischemic heart diseases, cerebrovascular diseases, pneumonia, suicide, diabetes in the order of ranking. The chronic disease as non-communicable disease (NCD) has been increasing continuously due to changes in lifestyle and consumption patterns and population aging in prevalence rate. This global trend is also apparent in Fiji and Korea, reflected in increasing mortality and personal costs for the treatment and management of NCD. The need for a sustained comprehensive treatment tailored for individual patients has suggested from many studies and the development of a systematic program to manage NCD patients to provide such care have been recommended. The Fiji government developed Non-communicable Diseases Strategic Plan 2015-2019 and has tried to reduce the prevalence rate of non-communicable diseases by factors. The WHO global action plan guiding national-level NCD policies requires an NCD prevention and control model at the community level, presenting strategic goals and detailed options for the introduction and application of the approach to communities. It is necessary to develop an NCD prevention and control model, consisting of a strategy of community intervention, education for students and NCD patients, and the legal enactment of NCD that adequately meets the needs of community members.

• Journal of Environmental Health Sciences
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• v.49 no.6
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• pp.289-294
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• 2023

Background: Artificial sweeteners are chemically synthesized substances used to add sweetness to foods. Representative substances include aspartame and acesulfame-K, which are 200 times sweeter than sugar. Recently, the IARC classified aspartame as class 2B, but Ministry of Food and Drug Safety of South Korea announced that it would maintain the current usage standards. Acesulfame-K, which has the potential to cause cancer, was excluded from the list of possible carcinogens, raising questions about its safety. According to a survey by the Consumers Union of Korea, 85% of makgeolli includes artificial sweeteners, but the content labelling is not indicated. It is necessary to accurately determine the intake of artificial sweeteners through makgeolli. Objectives: This study aims to evaluate the safety of makgeolli consumption by identifying the content of artificial sweeteners (aspartame, acesulfam-K) and preservatives (sorbic acid). Methods: Twenty makgeolli samples were purchased from large supermarkets and convenience stores by referring to the sales ranking of makgeolli products distributed in South Korea and the purchase ranking from online sites. The sample was sonicated to remove alcohol and carbon dioxide. Nine mL of acetonitrile was mixed with 1 mL of the prepared sample, centrifuged, and the supernatant was filtered and analyzed using HPLC. Results: As a result of the analysis, aspartame was detected in 17 products and acesulfame-K was detected in ten. The ADI of aspartame (40 mg/kg·bw/day) is higher than the EDI based on the maximum concentration 126.5 ㎍/mL. The ADI of acesulfame-K (15 mg/kg·bw/day) is higher than the EDI based on the highest concentration of 82.96 ㎍/mL. Although the health risk is low, IARC has raised the possibility of aspartame causing carcinogenesis, so there is a need to reevaluate the standards and regulations for artificial sweeteners. Conclusions: Through this study, we aimed to determine the content of aspartame and acesulfame-K contained in makgeolli currently distributed in South Korea and the safety of exposure to the human body when consumed.

• Korean Journal of Environment and Ecology
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• v.33 no.6
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• pp.624-635
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• 2019

Bird strike accidents, a collision between aircraft and birds, have been increasing annually due to an increasing number of aircraft operating each year to meet heavier demand for air traffic. As such, many airports have conducted studies to assess and manage bird strike risks effectively by identifying and ranking bird species that can damage aircraft based on the bird strike records. This study was intended to investigate the bird species that were likely to threaten aircraft and compare and discuss the risk of each species estimated by the single-matrix and multi-matrix risk assessment models based on the Integrated Flight Information Service (IFIS) data collected in Gimpo, Gimhae and Jeju Airports in South Korea from 2005 to 2013. We found that there was a difference in the assessment results between the two models. The single-matrix model estimated 2 species and 6 taxa in Gimpo and Gimhae Airports and 2 species and 5 taxa in Jeju Airport to have the risk score above "high," whereas the multi-matrix model estimated 3 species and 5 taxa in Gimpo Airport, 4 species and 5 taxa in Gimhae Airport, and 2 species and 3 taxa in Jeju Airport to have the risk score above "very high." Although both models estimated the similar high-risk species in Gimpo and Gimhae Airports, there was a significant difference in Jeju Airport. Gimpo and Gimhae Airports are near the estuary of a river, which is an excellent habitat for large and heavy waterbirds. On the other hand, Jeju Airport is near the coast and the city center, and small and light bird species are mostly observed. Since collisions with such species have little effect on aircraft fuselage, the impact of common variables between the two models was small, and the additional variables caused a significant difference between the estimation by the two models.

• Korean Journal of Construction Engineering and Management
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• v.7 no.3 s.31
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• pp.45-55
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• 2006

This study aims need set of mind to construction manager built a theory logic conceive decision making system and principles designed to create the administrative procedures that a company needs to integrate management and environmental concerns into its daily business practices. Integrate considerations of risk reduction and wise resource management into daily business decision making environmental that includes performance and cost. Seek to make better Dynamic time solutions that promote competitiveness set of management mind provide business with tools and methodologies management participation, psychology, philosophy effects of resource flows. A last of understand use of the decision making element principal as a guideline for evaluating and ranking approaches. The result of this study are summarized as follows; (1) setting for approach decision making of manager police, (2) dynamic of time and management mind (3) a primary factor out environment to decision making (4) methodologies of set up system for management mind (5) expectation effect of management mind.

• Journal of the Korean Institute of Gas
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• v.5 no.4 s.16
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• pp.56-61
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• 2001

Recently RBI softwares have received widespread interests from various industries. The available RBI softwares have variety of levels of analysis, fields of applications and damage mechanisms considered, which depend on the software developing institutes. In this paper results of a GSP(Group Sponsored Project) entitled 'Study on Surveying Functions of Foreign RBI Softwares' are summarized. A part of the study is explained in detail as a sample case for showing the contents of the project. Based on the demo softwares as well as the open documents and contents obtained in the web pages of the developer critical comparisons of the well-known RBI softwares were made. The required functions of the optimal RBI software is also discussed from the review results of this study.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.867-872
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• 2016

Background: Esophageal cancer is one of the most serious malignancies. Due to the aggressive nature of this cancer, the prognosis is poor. A network meta-analysis with simultaneous comparison of multiple treatments can help determine better treatment options that have higher effects on overall survival of patients with lower adverse events. The aim of this review is to simultaneously compare efficacy and adverse events of treatment interventions for esophageal cancer. Materials and Methods: In this review, only randomized control trials (RCT) will be considered for network meta-analysis. All international electronic databases including Medline, Web of Sciences, Scopus, Cochran's library, EMBASE and Cancerlit will be searched to find randomized control trials which compared two or more treatment interventions for esophageal cancer. A network plot will be drawn for visual representation of all available treatment interventions. Bayesian approach will be used to combine the direct and indirect evidence. Treatment effects (e.g. hazard ratio for time to event outcomes, risk ratio for binary outcomes, and rate ratio for count outcomes with 95% credible interval) will be reported. Moreover, cumulative probability of the treatment ranks will be reported using the surface under the cumulative ranking (SUCRA) graphs. Consistency assumption will be assessed by the loop-specific and design-by-treatment interaction approaches. Conclusions: The results of this study may be helpful for the patients, clinicians and health policy makers in selecting treatments that have the best effect on survival and lowest adverse events.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.133-141
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• 2012

Service and manufacturing companies' efforts are increasingly focused on utilizing services to satisfy customers' needs and survive in today's competitive market environment. The value of services depends mainly on service reliability that is identified by satisfaction derived from the relationship between customer and service provider. In this paper, we extend concepts from the failure modes and effects analysis of tangible systems to services. We use an event-based process model to facilitate service design and represent the relationships between functions and failures in a service. The objective of this research is to propose a method for evaluating service reliability based on service processes using fuzzy failure mode effects analysis (FMEA) and grey theory. We define the failure mode of service as interaction ways that can be failed in a service delivery process. The fuzzy set theory is used to characterize service reliability based on linguistic terms during FMEA. Grey theory is employed to determine the degree of relation and ranking among risk factors that are represented as potential failure causes. To demonstrate implementation of the proposed method, we use a case study involving a typical automotive service operation.