• Journal of Trauma and Injury
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• v.28 no.3
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• pp.134-143
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• 2015

Purpose: Many patients are injured by trauma. And some of them expire due to severity of trauma. Various scoring systems have been introduced in grading severity and predicting mortality of trauma patients. This study is to evaluation the usefulness of factors for determining the severity and predicting the prognosis of the trauma victims. Methods: Data on the patients who visited our Emergency departments from January 2010 to December 2011 were retrospectively reviewed using electronic medical records. The patients were activated severe trauma team calling system. The patients were categorized as survivors and non-survivors. Univariated associations were calculated, and a multiple logistic regression analysis was used to determine variables associated with hospital mortality. Results: Two hundred sixty two(262) patients were enrolled, and the mortality rate was 25.6%. By multivariate analysis, lower respiration rate, lower Glasgow Coma Score, higher International Normalized Ratio and emergency transfusion within 6 hours were expected as severity and prognosis predict factors (each of odds ratio were 24.907, 14.282, 2.667 and 16.144). Conclusion: As predict factors, respiration rate, Glasgow Coma Score, International Normalized Ratio and emergency transfusion, are useful determining the severity and predicting prognosis of trauma victims.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.139-147
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• 2020

In the fourth revolution resulting from ICT convergence, Blockchain-based platform is being applied to various fields. This trend is expected to become stronger in the future. This study aims to explore several factors pertaining to user acceptance of Blockchain-based financial platform. It is important for finance business managers and blockchain technical managers to verify the user's willingness to accept the blockchain. In this study, the factors determining the acceptance of blockchain-based platform we explore are innovation, convenience, security and preference. Based on the results of the survey, 465 users(male 262, female 212) completed the questionnaire, a structural equation analysis was used in order to analyze the blockchain's users acceptance framework. Through the results we were able to identify and validate the differences in innovation and convenience by gender as well as the factors determining the acceptance of blockchain-based financial platform.

• Journal of Korean Society for Geospatial Information Science
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• v.5 no.2 s.10
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• pp.65-75
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• 1997

Nowadays, digital map plays a role as a container of spatial database.'there have been many researches concerning the improvements of the digital map accuracy. From the user's viewpoint, however, the quality level of digital nap is as important as its accuracy, because fitness-for-use is considered the most important factor to the users. This study aims to find the methodology for determining the grade nか digital map. To accomplish this, we propose two major stages. First, weight factors of the layers are given according to the importance of the functions which must be considered in digital map generation. Scond, weight factors of the components to evaluate the accuracy of the digital map are presented By scoring the components and by summing the scores, the method for determining fitness-for-use is developed.

• Journal of the Korea Safety Management & Science
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• v.9 no.1
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• pp.77-84
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• 2007

This study was planned to investigate what the main factor of the regulation compliance of inspection on harmful machine, instrument and equipment by industrial safety and health act is. This study subject was composed of three groups as employers, employees of manufacturing and using the harmful machine and safety inspectors. Manufacturing workplace were 236 places, using workplace were 201 places and the safety inspectors were 100 people. The study subject was sampled by stratified random sampling considering the type of harmful Machine. Data for analysis is collected from each sample using interview with structured questionnaires. Compliance is measured by 2, 3, and 4 point scale composed by 8 sub items such as general perception, understanding, clearness, necessity, relevancy, implementation, penalty, and general compliance of the regulation. The level of 8 items of employer's compliance are not differentiated among three groups. The determining factors for inspection observance of the workplace using the harmful Machine were understanding, penalty and cognized compliance. The determining factors for inspection observance of the workplace manufacturing the harmful Machine were understanding and object conformity. These results show that the strategy to adapt the regulated group to inspection regulation will be the elevation of understanding for regulation first of all.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.11
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• pp.23-29
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• 2010

The principal factor determining an optimum design method for cathodic protection is finding the protection current for preventing the corrosion of existing, already laid pipe. Some factors currently used to test designs include the sizes and lengths of pipes, soil resistivity, and the coating damage rate. We believe this method and current formulae are not optimum due to the uncertainty of determining the coating damage rate and the corrosion protection current's density. This paper analyzes the amount of protection current obtained by performing a temporary current test using data describing existing laid pipe. We then propose determining the corrosion protection current by using the temporary current test after modifying the formula. In addition, we suggest a way to choose optimized cathodic protection and the process of design by executing the design and taking account of such factors as a site condition of 34km-long non-protected water supply pipe lines (stages I and II) in ${\bigcirc}{\bigcirc}$ region, climate, interferences, and durability.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.15-22
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• 2021

This study aims to obtain a stock investment strategy model based on the industrial sector in Indonesia Stock Exchange (IDX). This study uses IDX data for the period of January 1996 to December 2016. This study uses the Markov Regime Switching Model to identify trends in market conditions that occur in industrial sectors on IDX. Furthermore, by using the Logit Regression Model, we can see the influence of economic factors in determining trends in market conditions sectorally and the probability of trends in market conditions. This probability can be the basis for determining stock investment decisions in certain sectors. The results showed descriptively that the stocks of the consumer goods industry sector had the highest average return and the lowest standard deviation. The trend in sectoral stock market conditions that occur in IDX can be divided into two conditions, namely bullish condition (high returns and low volatility) and bearish condition (low returns and high volatility). Differences in the conditions are mainly due to differences in volatility. The use of a Logit Regression Model to produce probability of market conditions and to estimate the influence of economic factors in determining stock market conditions produces models that have varying predictive abilities.

• Korean Journal of Human Ecology
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• v.17 no.3
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• pp.521-532
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• 2008

The study aims to examine college students' practice characteristics related to diet and to identify factors determining their diet practice. The subjects were college students (N=387) in Youngnam region; a questionnaire survey was conducted in May, 2007. The data were analyzed by SPSS Windows. The results are as follows: first, the ratio of female students going on a diet is higher than that of male students. Second, according to the BMI, female students more regard themselves as being overweight than male students do, although they are underweight or normal weight. Third, in the interest in diet, almost half the students think of themselves as being "somewhat" or "much" concerned about diet. Fourth, the binary logistic regression analysis shows that the significant factors affecting female students' diet practice are the variables of "grade", "interest in diet", "body image evaluation in the individuals", "information/education requirement on dietary guidelines", and "necessity to go on a diet". On the other hand, the significant variables affecting male students' diet practice are the variables of "to take diet- or health-related courses", "interest in diet", "diet knowledge", and "diet practice".

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.2
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• pp.1-22
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• 2016

While many organizations believe that cloud computing has the potential to reduce operational cost by abstracting capital assets like data storage center and processing systems into a readily on demand available and affordable operating expenses, still many of these organizations are not aware of the factors determining the performance of cloud computing technology. This paper provides a systematic literature review focusing on the factors determining the performance of cloud computing. In trying to come up with this review, the following sources were searched for relevant articles: ScienceDirect, Scientific.Net, ACMDigital Library, IEEE Xplore, Springer, World Scientific Journal, Wiley Online Library, Academic Search Premier (via EBSCOHost) and EdITLib (Education & Information Technology Digital Library). In first search strategy, approximately 100 keywords related to the research domain like; "Cloud Computing" and "Cloud Services" were used. In second search strategy, 65 keywords more related to the research domain were selected. In the third search strategy, the primary materials were identified and classified according to the paper types (Journal or Conference), year of publication and so on. Based on this study, twenty (20) factors were found that determine the performance of cloud computing. The IT organization needs to consider these twenty (20) factors in order to adopt cloud computing.

• Asian Journal of Business Environment
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• v.7 no.1
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• pp.5-12
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• 2017

Purpose - In order to achieve the organizational objectives, the behavior of the employees and their collaboration with management should be taken into account. It has been shown that strategic behavior depends on a number of different factors. The aim of this article was determining the relationship between factors related to the strategic behavior. Research design, data, and methodology - Accordingly, a conceptual model was developed and tested in the form of a survey. Participants of the study were the employees working in the social Insurance company of Tehran. Data was collected using a questionnaire conducted among managers and the staff. A correlation model was used for data analysis by employing the SPSS software. Results - The findings showed there was a relationship between employees' engagement and the strategic behavior. Conclusions - Our research has demonstrated the effect of employees' engagement on the strategic-driven behavior, emphasizing the role of employees' engagement in health-care service firms. Although previous service research has focused on the factors that drive employees' performance, it seems that most of this research has been inspired by the idea of the service profit chain, focusing on the effect of employees' satisfaction on performance.

• Journal of Preventive Medicine and Public Health
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• v.42 no.3
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• pp.151-159
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• 2009

Objectives : This study was to determine how the perception and the satisfaction of outpatients who utilized clinics and hospitals are structurally related with their willingness to utilize the same institution in the future. Methods : Three hundred and ten responses (via convenient sampling) were collected from 5 hospitals and 20 clinics located in Seoul listed in the "Korea National Hospital Directory 2005". Service quality was utilized as the satisfaction measurement tool. For analysis, we used a structural equation modeling method. Results : The determining factors for general satisfaction with medical services are as follows: medical staff, reasonability of payment, comfort and accessibility. Such results may involve increased competition in the medical market and increased demands for quality medical services, which drive the patients to visit hospitals on their own on the basis of changed determining factors for satisfaction. Conclusions : The structural equation model showed that the satisfaction of outpatients with the quality of medical services is influenced by a few sub-dimensional satisfaction factors. Among these sub-dimensional satisfaction factors, the satisfaction with medical staff and payment were determined to exert a significant effect on overall satisfaction with the quality of medical services. The structural relationship in which overall satisfaction perceived by patients significantly influences their willingness to use the same institution in the future was also verified.