• The Korean Journal of Emergency Medical Services
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• v.10 no.2
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• pp.35-42
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• 2006

Purpose: We studied that EMT took care in prehospital care of cardiac arrest patients by "the chain of survial", we need the data about treatment of EMT in prehospital care of cardiac arrest patients. and then we want to educate EMT for their emergency skill and knowledge of prehospital care of cardiac arrest patients. Method: We studied 162 cardiac arrest patients were transported by EMT in Jecheon province, Chingbuk. Results: 1. Stage of Early Access 96.9% of people who related the cardiac arrest patients used the Jecheon 119 Rescue at their emergency situation. 2 Stage of Early CPR The EMT supported keeping of airway to 148 of 162 cardiac arrest patients. Artificial respiration was 120 of 162 cardiac arrest patients and chest compression was 119 of 162 cardiac arrest patients. 3. Stage of Early AED There were shocked 6 cardiac arrest patients but weren't shocked 156 victims of 162 cardiac arrest patients by AED. 4. Stage of Early ACLS There were reported 3 of 162 cardiac arrest patients. to Doctor or Hospital Emergency Center for medical direction to EMT in prehospital area. There is no advanced airway, IV insertion and medication to the prehospital cardiac arrest patients.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.734-741
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• 2002

The importance of efficient Supply Chain Management is increasing in accordance with recent industrial environment, such as globalization of business, complexity and diversity of company's management structure, and variety of customer's demand. In a rapidly changed environment of business, quick and efficient decision making is the important matter to the survival of the company. The purpose of this study supports decision making for efficient supply chain management. In this study, we consider simultaneously and mutually reflecting the preference of each constituent (Supplier, Manufacturing plant, Distribution center, Customer) on supply chain network, and decide company's strategic choice and coordinated production/distribution models of company. The Analytical Hierarchy Process is used for decision making of qualitative and quantitative elements. We use the results of AHP as inputs and propose mathematical models thru Mixed Integer Programming.

• The Korean Journal of Emergency Medical Services
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• v.7 no.1
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• pp.29-42
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• 2003

The purpose of this study was to development CPR training course to promote wide spread training. The course objectives was based on international Guidelines 2000. The course presents information about the AHA adult Chain of survival and signs of heart attack, cardiac arrest, stroke, and chocking in adult, and includes information about healty heart living and actions to reduce the risk of cardiovascular disease. The course also presents information about the AHA infant and chila Chain of survival, signs of breathing emergencies and chocking in infants and children, prevention of sudden infant death syndrome, and prevention of the most common fatal injuies in infants and children. Vedio-mediated instruction is the primary approach to teaching psycomotor skills.

• The Journal of Information Systems
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• v.21 no.3
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• pp.187-214
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• 2012

Supply chain management(SCM) helps firms in integrating their business by collaborating with other value chain partners to meet the unpredictable demand of the end user. Agility is the fundamental characteristic of a supply chain needed for survival in turbulent and volatile markets, which are becoming norms as product life cycles shorten and environmental forces create additional uncertainty resulting in higher risk in the supply chain management. Literature reviews reveals various factors that could affect the agility. The objective of this study is to derive interdependence, partnership, quality of information, joint problem solving, modelize the mutual influential relationship between them, and look into the influential relationship influencing the agility. To test the proposed model, we used a data set generated from survey. Date analysis was conducted using 122 respondents. We used structural equation model (SEM) implemented in partial least square(PLS). The results of this study can be summarized as follows. Interdependence had a significant impact on partnership. Partnership had a significant impact on quality of information and joint problem solving. Quality of information had a significant impact on joint problem solving. Quality of information and joint problem solving had a significant impact on agility. This study diagnoses that Inter-organizational relationship characteristics are important for supply chain agility. Inter-organizational relationship characteristics are considered as an essential factor for supply chain agility.

• Journal of fish pathology
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• v.13 no.1
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• pp.15-20
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• 2000

Infection rates with white spot baculovirus(WSBV) in wild-caught shrimp spawners appeared to be 52% in Penaeus chinensis and 20% in Penaeus japonicus when diagnosed by polymerase chain reaction (PCR). Infection rates of WSBV from inhabitant organisms in shrimp farm showed 37% in Upogebia major and 29% in Calliamassa japonica. The viruses maintained their survivorship in seawater at $4^{\circ}C$, but lost it at $25^{\circ}C$.

• Journal of the Korean Data and Information Science Society
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• v.15 no.3
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• pp.605-616
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• 2004

In this paper we consider the proportional hazard models for survival analysis in the microarray data. For a given vector of response values and gene expressions (covariates), we address the issue of how to reduce the dimension by selecting the significant genes. In our approach, rather than fixing the number of selected genes, we will assign a prior distribution to this number. To implement our methodology, we use a Markov Chain Monte Carlo (MCMC) method.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2893-2900
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• 2014

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach is used to obtain the predictive survival times from the data-based Exponentiated Exponential Model. Markov Chain Monte Carlo method was used to obtain the summary results for predictive inference. Results: The highest number of female breast cancer patients was found in California and the lowest in New Mexico. The majority of them were married. The mean (SD) age at diagnosis (in years) was 60.92 (14.92). The mean (SD) survival time (in months) for female patients was 90.33 (83.10). The Exponentiated Exponential Model found better fits for the female survival times compared to the Exponentiated Weibull Model. The Bayesian method is used to obtain predictive inference for future survival times. Conclusions: The findings with the proposed modeling strategy will assist healthcare researchers and providers to precisely predict future survival estimates as the recent growing challenges of analyzing healthcare data have created new demand for model-based survival estimates. The application of Bayesian will produce precise estimates of future survival times.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.155-163
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• 2007

Future war needs a lot of changes for military organization. Specially, concept of the "Speed" is raised importantly after Iraq war of U.S. Armed Forces. So, He is a lot of studying supply chain for logistical support speed improvement. Korea Marine Corps has made an efforts to improve supply chain. However it is real that is putting various techniques by prescription rather than fundamental change. These simplicity prescriptions are not only systematic but also insufficient for Marine Corps' survival. In addition, Korea marine corps in actuality is depending on many members in marine and navy in feed chain. Thus it is not establishing even tactical, decision-making plan of operation for support ability cultivation. Therefore, in this study, with Sense and Response concept that is United States Marine Corps' support strategy, presented theoretical background and basis frame that serve that Korea Marine Corps's supply chain changes to perception reaction formation.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.663-669
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• 2014

Background: With recent progress in health science administration, a huge amount of data has been collected from thousands of subjects. Statistical and computational techniques are very necessary to understand such data and to make valid scientific conclusions. The purpose of this paper was to develop a statistical probability model and to predict future survival times for male breast cancer patients who were diagnosed in the USA during 1973-2009. Materials and Methods: A random sample of 500 male patients was selected from the Surveillance Epidemiology and End Results (SEER) database. The survival times for the male patients were used to derive the statistical probability model. To measure the goodness of fit tests, the model building criterions: Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were employed. A novel Bayesian method was used to derive the posterior density function for the parameters and the predictive inference for future survival times from the exponentiated Weibull model, assuming that the observed breast cancer survival data follow such type of model. The Markov chain Monte Carlo method was used to determine the inference for the parameters. Results: The summary results of certain demographic and socio-economic variables are reported. It was found that the exponentiated Weibull model fits the male survival data. Statistical inferences of the posterior parameters are presented. Mean predictive survival times, 95% predictive intervals, predictive skewness and kurtosis were obtained. Conclusions: The findings will hopefully be useful in treatment planning, healthcare resource allocation, and may motivate future research on breast cancer related survival issues.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.51-59
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• 2024

Recently, ESG management has become a global trend, receiving increasing attention from stakeholders such as consumers, investors, and governments, as regulations related to ESG disclosure and supply chain due diligence have been strengthened since the United Nations Principles of Responsible Investment (UN PRI) was announced in 2006. ESG is an acronym for the environment (E), social (S), and governance (G) and is accepted as a key factor for the continuous survival and growth of a company. As a result, there are over 600 ESG management evaluation indicators operated domestically and internationally, and numerous global initiatives have emerged. Korea's Ministry of Trade, Industry and Energy also announced "K-ESG Guidelines (December 2011)" and "K-ESG Guidelines for Supply Chain Response (December 22)" to help SMEs introduce ESG management and respond to supply chain due diligence. However, small-scale manufacturing companies with poor financial, human resources, and technological capabilities face significant challenges in introducing ESG management. Accordingly, this study aims to examine the current status of ESG management adoption in small-scale manufacturing companies with less than 150 people in Korea and propose activation plan ESG management based on the diagnostic requirements of the "Supply Chain Response K-ESG Guidelines."