• Journal of Preventive Medicine and Public Health
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• v.15 no.1
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• pp.145-151
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• 1982

Breslau's report on the two stillbirths induced by illuminating gas poisoning made many investigators explore the hazards. of carbon monoxide(CO) poisoning to pregnancy. The pregnant woman, her fetus, and the newborn infant have been identified to be particularly vulnerable to CO even in low concentration. Several factors, such as placental barrier, membrane resistance of maternal and fetal red blood cells etc., were considered to be related to the delayed elimination of CO from fetus. Slower elimination of CO from fetus than from mother was confirmed in several in vivo studies. But there are few studies which have confirmed the difference of carboxyhemoglobin (HbCO) dissociation in adult and fetal bloods. Author investigated the effects of hemoglobin itself on the elimination of CO from mother and fetus. By observing the difference of CO dissociation from adult and fetal hemoglobin at the various partial pressures of oxygen, the author tries to suggest the base of the proper treatment measure for the CO poisoning of pregnant woman and newborn infant. The results were as follows: 1. The total hemoglobin amounts of adults and fetal bloods were $16.1{\pm}0.50gm%\;and\;15.7{\pm}0.32gm%$, respectively. The fetal hemoglobin proportions in adult and fetal bloods were $1.2{\pm}0.15%\;and\;72.7{\pm}3.01%$, respectively. 2. Adult and fetal bloods saturated by CO to 100% HbCO were exposed to ambient air$(21%\;O_2),\;100%\;O_2\;and\;3\;ATAO_2$. After 30 minutes exposure, the HbCO saturations of adult blood were 96.7%, 70.9%, and 52.8%, respectively, and those of fetal blood were 98.5%, 76.1%, and 62.2%, respectively. HbCO dissociation was proportional to the partial pressure of oxygen and the most marked dissociation was shown under 3 ATA $O_2$, HbCO dissociation of fetal blood was slower than that of adult blood in all conditions. According to the above results, it is possible that CO poisoning make more serious damage to the fetus and newborn infant than to the adult due to the delayed dissociation of HbCO. Thus in the treatment of CO poisoning of pregnant woman and newborn infant, hyperbaric oxygen therapy seems to be the most eflective treatment measure, but the duration of hyperbaric oxygenation should be lengthened accordingly.

• Korean Journal of Medicinal Crop Science
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• v.1 no.1
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• pp.16-23
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• 1993

Seeds of Acanthopanx plants need about 2 years to germinate after sowing even if full matured fruits were harvested. I leave a room for doubt that this phenomenon could be brought by the immatured embryo in seed. If it is true, stratification method for the seed propagation of Acanthopanax plants would be used more effectively to promote the growth of embryo in relatively short time. Before stratification, seeds were devided into two parts. One of them was treated for 24hrs in the concentration of $GA_3$ 100 ppm. After stratification of non-treated and treated seeds, seeds for microtechnique were taken on interval of one month for three months, and fixed in Farmer's solution. The seed sizes of Acanthopanax plants were in biggest order A. sessiliflorus, A. seoulense, A. chiisanensis, A. koreanum and A. sieboldianum. The dehiscence phenomenon of seed coat didn't show in most of the seeds that stratified, but A. koreanum only dehisced in seeds treated in $GA_3$ 100ppm. The embryos of the stratified seeds that treated in $GA_3$ showed nomal growth, complete cotyledons and procambium in hypocotyl in any species, but the non-treated seeds could not expect the germination after sowing due to poor growing of the embryo in all species. In view of the results so far achieved, it has taken long times from sowing to germinate because the seed of Acanthopanax plants has immatured embryo.

• Clinical and Experimental Pediatrics
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• v.49 no.5
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• pp.500-506
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• 2006

Purpose : We evaluated an outbreak of Serratia marcescens infections in 24 neonates in a neonatal intensive care unit(NICU). Methods : From January to August, 2004 a nosocomial outbreak of S. marcescens occurred in our NICU. We describe the clinical characteristics of the outbreak and analyse the risk factors for infections with S. marcescens. After the outbreak stopped, 7 isolates from blood were typed using rapid amplified polymorphic DNA analysis(RAPD). Results : S. marcescens was isolated from 24 neonates, 19 infected and 5 colonized. Seven out of nineteen neonates had bacteremia, 4 had ventilator associated pneumonia, 4 had purulent conjunctivitis, 2 had UTI, 1 had meningitis and 1 had a wound infection. Three neonates died due to S. marcescens infection, 2 of 3 had ventilator associated pneumonia, 1 had meningitis complicated with abscess. The mortality rate of S. marcescens infection was 15.8%. Factors associated with S. marcescens infections were previous antibiotic therapy, indwelling catheter and use of ventilators. The isolated strains were resistant to most antibiotics, but frequently sensitive to imipenem, bactrim and amikacin. RAPD typing results show that at least 3 epidemic strains were related with this outbreak. But one genotype was predominant type in this outbreak. The control measures were instituted and the outbreak stopped within 2 months. Conclusion : S. marcescens can cause rapidly spreading outbreaks associated with fatal infections in neonates. If S. marcescens is isolated from clinical specimens, meticulous infection control measures and epidemiologic investigations should be done at an early stage of the outbreak.

• Clinical and Experimental Pediatrics
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• v.46 no.5
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• pp.447-453
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• 2003

Purpose : This study was performed to compare complications and perinatal factors according to the birth weight groups in the infants of diabetic mothers(IDM). Methods : Three hundred and one singleton diabetic mothers and their babies of more than 30 weeks' gestational age admitted in the department of Pediatrics, Chonnam University Hospital from January 1996 to March 2002 were enrolled. Complications and perinatal factors were compared between large for gestational age(LGA) and appropriated for gestational age(AGA) infants. Results : Hypomagnesemia was observed in 37.5%, jaundice in 21.3%, hypoglycemia in 11.1%, hypocalcemia in 7.0%, and birth injury in 19.6%. Congenital anomaly was noted in 24.9% with cardiovascular anomaly most commonly. In the LGA group, the frequencies of jaundice, hypoglycemia, tachypnea, and birth injuries were higher, and the interventricular septum was thicker than the AGA group. In the LGA group, Cesarean section rate, maternal height, weight before pregnancy, weight gain during pregnancy, and the incidence of unawareness of gestational DM were significant compared with the AGA group. Conclusion : In the LGA group, the frequencies of jaundice, hypoglycemia, tachypnea, and birth injuries were higher, and the interventricular septum was thicker than the AGA group. In the LGA group, maternal height, weight before pregnancy and weight gain during pregnancy were larger, and the incidence of unawareness of gestational DM was higher compared with the AGA group. These results suggest that careful examination and management are needed to detect the high risk, pregnant DM mothers with possible LGA babies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.6
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• pp.183-198
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• 2014

This study analyzed the effect of NPD(New Product Development) strategy and standardized NPD activity on NPD performance in KODAK companies. As a result of this study, companies with a specific NPD strategy that can lead and integrate NPD programs were 48.5% and companies without NPD strategy were 51.5% among KOSDAQ companies, which showed that companies without NPD programs were relatively higher than companies with NPD programs. According to result of NPD performance, success rate of new product showed 51.2% and success rate of new product revenue showed 44.87%, but respondents who evaluated NPD performance as "very successful" and "successful" were 53% based on the study of 77 various industries by Kuczmarski & Associates in America in 1993, and the companies in this study showed relatively below-average marks to the result of the study examined by USA PDMA in 1995 as compared to 59% of NPD success rate according to the 2nd study of best practice in 1995 by USA PDMA(Product Development & Management Association). As a result of testing the difference between NPD performances depending on whether company has NPD strategy or not, it showed a significant difference in success rate of NPD depending on NPD strategy and had a higher success rate of NPD as company has NPD strategy. Although NPD activity does not provide with documented process, companies which follow clearly recognized procedure until individual business for product development is completed were 39.6%, indicating that KOSDAQ companies still have fewer standardized NPD procedure than USA companies with 76% as compared to the result of 1990 PDMA in America. As a result of ANOVA test, NPD success rate showed the difference depending on the presence of officially documented process. As a result of Scheffe and Bonferroni test as post hoc test, companies with officially documented process, carrying out a series of business in a given section showed a higher NPD success rate by 18.385 at the 5% significance level than companies with individual business procedure without officially documented process. The difference of this research from the previous studies is that the findings of PDMA in America throughout the United States were applied to the domestic KOSDAQ companies. In addition, the existing studies related to NPD in Korea were conducted for some limited industries in the past, but this study was applied to various industries of KOSDAQ companies. The implications of this study suggest that it is necessary for KOSDAQ Industry Association or other related governmental departments to educate and guide the standardized process about NPD for increasing survival rate and reinforcing competitiveness of the companies.

• Journal of Korean Society of Transportation
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• v.23 no.7 s.85
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• pp.165-179
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• 2005

The object of this study is a development of a stochastic user equilibrium transit assignment algorithm for multiple user classes considering stochastic characteristics and heterogeneous attributes of passengers. The existing transit assignment algorithms have limits to attain realistic results because they assume a characteristic of passengers to be equal. Although one group with transit information and the other group without it have different trip patterns, the past studies could not explain the differences. For overcoming the problems, we use following methods. First, we apply a stochastic transit assignment model to obtain the difference of the perceived travel cost between passengers and apply a multiple user class assignment model to obtain the heterogeneous qualify of groups to get realistic results. Second, we assume that person trips have influence on the travel cost function in the development of model. Third, we use a C-logit model for solving IIA(independence of irrelevant alternatives) problems. According to repetition assigned trips and equivalent path cost have difference by each group and each path. The result comes close to stochastic user equilibrium and converging speed is very fast. The algorithm of this study is expected to make good use of evaluation tools in the transit policies by applying heterogeneous attributes and OD data.

• Korean Journal of Psychosomatic Medicine
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• v.9 no.1
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• pp.28-36
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• 2001

Objectives : This study was undertaken to identify the clinical and psychological characteristics in patients of mental disability assessment following traumatic brain injury who had the finding with or without abnormal brain imaging study. Methods : A consecutive series of 59 patients were assessed in hospital from January 1994 to December 1998. Patients were divided into 2 groups based on normal or abnormal brain imaging and the two groups were compared in demographic characteristics, psychiatric symptoms, type of head injury, clinical psychological findings. There were 27 patients with abnormal findings and 32 with normal findings in brain imaging study. Results : Abnormal finding group in brain imaging study had significantly higher incidence of psychosis, decreased memory, decreased appetite, increased nihilistic idea, and intracranial hemorrhage. Also, abnormal finding group showed significantly lower level of performance on the block design subtest of K-WAIS and had significantly lower scores on F, hypochodriasis, depression, hysteria, psychopathic deviate, psychasthenia and schizophrenia subscale of the MMPI. Conclusion : The findings suggest that the patients undergone brain surgery due to intracranial hemorrage at that time of brain injury may have higher frequency of abnormal findings in brain imaging study, complain more cognitive and affective symptoms, and have lower the abstract concept formation and perceptual organization abilities.

• Journal of Distribution Science
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• v.10 no.2
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• pp.19-28
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• 2012

Rapidly growing sales amount and the number of discount stores caused many side effects and sensitive issues in Korea. Because these severe competition due to more expensive cost just like excessive increase in advertising and location selection, and these caused completely ruined small merchants as well as passed on to the consumer. This Study focused on competitiveness of discount store in Korea to the perspective of college students, as explored the relationships between marketing communication and store loyalty. And, examined for two moderating effect, 1) consumers' value separated by hedonic value and utilitarian value between marketing communication and store loyalty, and 2) consumers' value separated by hedonic value and utilitarian value between marketing communication and consumption emotion. Finally, this study examined for mediating effect of consumption emotion between marketing communication and store loyalty. In order to verify the relationship, moderating and mediating effects, data were collected from 130 college students in Whasung, Gyeonggi Province to test theoretical model and its hypotheses. Findings are as followed : First, analysis showed that factors such as advertisement(β =.221, p<.05), publicity(β =.513, p<.01), sales promotion(β =.234, p<.01), word of mouth(β =.627, p<.01) and physical environment(β =.339, p<.01) for marketing communication in the discount store have statistically significant positive effect on store loyalty. But the result of regression analysis for which factors are more impact in marketing communication between store loyalty showed that word of mouth(β =.53, p<.01) is only statistically significant. Second, publicity(β =-.895, p<.05), the sub-dimension of marketing communication shows only statistically significant negative moderating effect on store loyalty. But, the results of the moderating effect of value between marketing communication and consumption emotion verified that utilitarian value show statistically significant, specifically advertisement(β =.294, p<.01), physical environment(β =.418, p<.01), sales promotion(β =.245, p<.01), word of mouth(β =.414, p<.01) and publicity(β =1.137, p<.05), respectively. And hedonic value show statistically significant, specifically advertisement(β =.286, p<.01), physical environment (β =.418, p<.01), sales promotion(β =.236, p<.01) and word of mouth(β =.420, p<.01), respectively. But publicity(β =.145, p=.119) is not statistically significant. Finally, the results verified mediating effect for consumption emotion between all factors for marketing communication and store loyalty showed that factors such as advertisement, publicity, word of mouth and physical environment for marketing communication except sales promotion were statistically significant fully mediated in advertisement, and partially mediated in publicity, word of mouth and physical environment. This testified that the consumption emotion had the most important factor to enhance store loyalty to the perspective of College students. These results can provide important implications and invaluable tips for planning marketing strategies and gaining access to new potential customers. Implications and future research directions are also discussed.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.23-45
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• 2020

Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

• Cartoon and Animation Studies
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• s.47
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• pp.217-239
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• 2017

The purpose of this research is to maximize the core competencies by objectively measuring the Behaviour Patterns of students in Comic-Animation major to understand the difference between individuals and to maximize one's merits which will improve the efficiency in education. Also through this research we could understand which aspects would be affected in both the satisfaction about the major based on Behaviour Patterns and the satisfaction of university life. According to the DISC Patterns, 41.7% of the students in Comic-Animation department shows that they were in Patterns I (Influence). And Patterns S (Steadiness) were 10% which was the lowest percentage in this survey. In the average of the subject's satisfaction aspect, the satisfaction of the professors' suggestion was 3.68 which was the highest. While the satisfaction of the administration service and welfare facility was 2.56 which was the lowest. The satisfaction rate based on DISC Behaviour Patterns shows a significant difference among the satisfaction of the department, the satisfaction of atmosphere in university and the satisfaction of the admin and welfare. Patterns I (Influence) was the highest the satisfaction in the major and the satisfaction of the university life while Patterns C(Criticalness) was the lowest. In particular, the importance of the I (Influence) is the most important factor, but it is essential that there is a slight decrease in the precision and accuracy of the work, and C(Criticalness) is shy and stressed, so they need to give positive communication and accurate advice. It is required to Comic-Animation department professor to analyse students' character based on Behaviour Patterns and a person's pros and cons for the career exploration and the employment consultation in order to have positive affect on employment rate. Also if the department's Behaviour Patterns construction were well utilized, it can improve the success rate of useful leadership and fellowship. it will improve the atmosphere in the department which will decrease the drop-out rate but increase the cohesion in the department which will lead to providing better result in the work and the project.