• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.7 no.2
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• pp.161-170
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• 1997

This is an effort to confirm changes biological monitoring according to changes in levels of exposure to styrene for industrial workers. This study was conducted on 108 workers, including male of 64 and female 44 who were working at factories of FRP, dipping, and coating. An improved passive monitor method(organic vapor monitor; OVM) was employed to determine levels of exposure. The biological monitoring include blood styrene concentration, urinary mandelic acid(MA), and urinary phenylglyoxylic acid(PGA). Biological monitoring were made through the Collection of blood and urine. The mean value of exposure to styrene was 21.0ppm, which is measured by organic vapor monitor, one of improved passive monitors. The highest exposure level was observed among workers in boat factories, laminating procedure workers, processing workers, respectively(p<0.01). For exposure level, 11% of subjects under study showed over 50ppm which is time weighted average(TWA). The correlation coefficient between biological specimens and the exposure level was 0.62 for blood styrene concentration, 0.58 for MA corrected by creatinine, and 0.70 for PGA corrected by creatinine, respectively(p<0.01). The regression analyses found exposure level relative importance in explaining variance in biological monitoring. In additional to that, gender was a significant factor in explaining variance of MA and MA+PGA. Almost half of variance(49%) in blood styrene concentration was explained by predictors, including exposure level, age, gender, duration, and drinking volume during the last week(p<0.01). The very high correlation(higher than 0.95 was found when a comparison was made among three types of corrected methods, including uncorrected specific gravity and creatinine. In conclusion, these findings suggest OVM to represent levels of exposure to styrene for industrial workers. A discussion was made on possible use of specific gravity sample for biological monitoring. Exposure level may be predicted on MA, PGA in urine, which could be applied to represent biological monitoring.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.17 no.1
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• pp.19-26
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• 2006

Objectives : The object of this study was to examine computer game playing patterns and psychopathologies related to computer game addiction in school-age children. Methods : The subjects were 533 elementary school students (4th to 6th grade) in Kangdonggu, Seoul. We evaluated computer playing patterns of all subjects using computer game playing pattern questionnaire, and determined the risk group of computer game addiction by internet game addiction scale score. We evaluated subscale score of K-CBCL from parents of all subjects, and conducted correlation analysis and logistic regression analysis between computer game addiction and subscale score of K-CBCL. Results : In 488 responders, 10.2% of started playing computer game in preschool age, and 67.2% started at low grade of elementary school. The mean frequency of computer game play per week was 3.66 days. Mean time spent playing computer games per day was 1.89 hours. 'Simply for fun' was the most common reason far playing computer games (40.8%). Male subjects showed statistically significant differences in age of starting computer game, frequency of computer game play per week, reasons for playing computer game and computer game addiction scale scores. There were significant correlations between computer game addiction scale scores and academic performance, somatic complaints, attention problems, and internalizing problems in K-CBCL. But In logistic regression analysis, only attention problems among K-CBCL subscales showed significant predictability to computer game addiction. Conclusion : Upper grade elementary school students experienced computer game playing at the very early age, and spend much time in playing computer games. There were significant correlation and predictability between computer game addiction and attention problems.

• Korean Journal of Construction Engineering and Management
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• v.12 no.6
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• pp.65-78
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• 2011

Construction business, which is complex and long-term business, requires accurate estimation and verification in construction costs and payment procedure from project planning to the completion of construction phase. And more importantly, it is necessary to investigate and determine the risk factors related to construction costs during the entire process including design planning, construction drawings, and quantity calculating. But, currently, it is not seem to be adequate to cope with the risk and increased construction costs against the operational budget in terms of actual costs when screening and estimating the bidding cost of public apartment. Therefore, this study selected and analyzed 40 sites' report of construction completion account from 2004 to 2010 focused on the adequacy on the modification of contract and design planning and on the complication of the budget in the beginning of the project. This study deducted various risk causes and results by analyzing actual costs according to year, architectural area, region, construction cost and sale/lease classification. We could find out construction risk according to annual variation of government policy and economy, and also deducted risk items by construction characteristic according to region and architectural area. Study result, we first found out the problems of lowest price award system according to the construction costs. The weight of the cost increase risk was analyzed that subcontract and material costs are very high. Roof and tile work were analyzed highly in subcontract cost risk and reinforcing bar and cement were analyzed highly in material cost risk, among direct construction cost. Finally, this study results could be used in comparing the categories of the construction costs made by specific construction process, belonging to the construction costs, with the operational budget made in the beginning of the project that can enable to grasp unpredictable risks over the construction costs and making quantitative analysis for it through analyzing the range of fluctuation and variations led by the fluctuations in the actual construction costs.

• Journal of Korean Society of Forest Science
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• v.99 no.1
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• pp.9-15
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• 2010

This study was conducted to develop a stand growth model and a stand yield table for Eucalyptus pellita and Acacia mangium plantations in Kalimantan, Indonesia. To develop a stand growth model, Weibull robability density function, a diameter class model, was applied in this study. In the development of stand growth model by site index and stand age, a hierarchy is generally required - estimation, recovery and prediction of the diameter class model. A number of grow equations were also involved in each process to estimate diameter, height, basal area, minimum or maximum diameter. To examine whether the grow equations are adequate for Eucalyptus pellita or Acacia mangium plantations, a fitness index was analyzed for each equation. The results showed that fitness indices were ranged from 65 to 89% for Eucalyptus pellita plantations and from 72 to 95% for Acacia mangium plantations. As being highly adequate for the plantations, a stand yield table was developed based on the resulted growth model, and applied to estimate the stand growth with midium site index for 10-year period. The highest annual stand growth of Eucalyptus pellita plantations was estimated to be 21.25 $m^3$/ha, while that of Acacia mangium plantations was 27.5 $m^3$/ha. In terms of annual stand growth, Acacia mangium plantations appeared to be more beneficial than Eucalyptus pellita plantations. Also, to estimate commercial timber volume available from the plantations, an assumption that a log would be cut by 2.7 m in length and the rest of the log would be cut by 1.5m was involved. The commercial timber volume available from Eucalyptus pellita plantations was 68.0 $m^3$/ha, 33% from the total stand volume, 203.2 $m^3$/ha. Also 96.7 $m^3$/ha of commercial timbers were available from Acacia mangium plantations, which was 42% from the 232.9 $m^3$/ha in total. Presenting a good information about the stand growth in Eucalyptus pellita and Acacia mangium plantations, this study might be useful for whom proceeds or considers an abroad plantation for merchantable timber production or carbon credit in tropical regions.

• Tuberculosis and Respiratory Diseases
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• v.42 no.2
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• pp.142-148
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• 1995

Background: Despite modern diagnostic, staging, and therapeutic advances, esp. with molecular biologic techniques, the 5-year survival rate of all cases of lung cancer does not exceed 15%. Also, the incidence of lung cancer of both sex in Korea is increasing year by year and the lung cancer is one of the leading causes of cancer death. Therefore, it is strongly needed to develop the new combination of treatment modalities including neoadjuvant chemotherapy and to identify tumor specific characteristics with staging or prognostic markers. Here we present the clinical significance of several biologic tumor markers to use as a prognostic markers in patients with non-small cell lung cancers. Method: The survival has correlated with the expressibility of proliferative cell nuclear antigen (PCNA), epidermal growth factor receptor(EGFR), p53 and/or blood group antigen A(BGAA) using immunohistochemistry in 46 patients with non-small cell lung cancers. Results: 1) The expression rates of PCNA, EGFR, p53 and BGAA were 80.6%, 61.3%, 45.9% and 64.3%, respectively and those were not correlated to cell types or clinical stges. 2) The expression of BGAA was correlated with better survival in median survival and in 2-year survival rate and that of PCNA was correlated with worse survival in median survival and 2-year survival rate. 3) The expression of EGFR or p53 was not valuable to predict prognosis in non-small cell lung cancers. 4) With simultaneous applications of PCNA, EGFR and p53 immunostain, the patients with 2 or more negative expressions showed better prognosis than the patients with 2 or more positive expressions. Conclusion: It is suggested that the expression of blood group antigen may be a positive prognostic factor and that of PCNA may be a negative prognostic factor. Also, the combination of expressions of PCNA, EGFR and p53 may be used as a negative prognostic factor.

• Tuberculosis and Respiratory Diseases
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• v.66 no.6
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• pp.444-450
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• 2009

Background: Biomarkers for cancer have several potential clinical uses, including the following: early cancer detection, monitoring for recurrence prognostication, and risk stratification. However, no biomarker has been shown to have adequate sensitivity and specificity. Many investigators have tried to validate biomarkers for the early detection and recurrence of lung cancer. To evaluate plasma G-CSF as such a biomarker, protein levels were measured and were found to correlate with the clinicopathological features of primary lung tumors. Methods: Between December 2006 and May 2008, 100 patients with histologically-validated primary lung cancer were enrolled into this study. To serve as controls, 127 healthy volunteers were enrolled into this study. Plasma G-CSF levels were measured in lung cancer patients using the sandwich ELISA system (R & D inc.) prior to treatment. Results: The mean plasma G-CSF levels were 12.2$\pm$0.3 pg/mL and 46.0$\pm$3.8 pg/mL (mean$\pm$SE) in the normal and in the cancer groups, respectively. In addition, plasma G-CSF levels were higher in patients with early lung cancer than in healthy volunteers (p<.001). Plasma G-CSF levels were higher in patients who were under 65 years old or smokers. Within the cancer group, plasma G-CSF levels were higher in patients with non small cell lung cancer than in patients with small cell lung cancer (p<.05). Overall, plasma G-CSF levels were shown to increase dependent upon the type of lung cancer diagnsosed. In the order from highest to lowest, the levels of plasma G-CSF tended to decrease in the following order: large cell carcinoma, squamous cell carcinoma, adenocarcinoma, and bronchioloalveolar carcinoma. Plasma G-CSF levels tended to be higher in patients with advanced TNM stage than in localized TNM stage (I, II

• Asia pacific journal of information systems
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• v.19 no.3
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• pp.51-67
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• 2009

Developing an agile recommender system for nomadic users has been regarded as a promising application in mobile and ubiquitous settings. To increase the quality of personalized recommendation in terms of accuracy and elapsed time, estimating future context of the user in a correct way is highly crucial. Traditionally, time series analysis and Makovian process have been adopted for such forecasting. However, these methods are not adequate in predicting context data, only because most of context data are represented as nominal scale. To resolve these limitations, the alignment-prediction algorithm has been suggested for context prediction, especially for future context from the low-level context. Recently, an ontological approach has been proposed for guided context prediction without context history. However, due to variety of context information, acquiring sufficient context prediction knowledge a priori is not easy in most of service domains. Hence, the purpose of this paper is to propose a novel context prediction methodology, which does not require a priori knowledge, and to increase accuracy and decrease elapsed time for service response. To do so, we have newly developed pattern-based context prediction approach. First of ail, a set of individual rules is derived from each context attribute using context history. Then a pattern consisted of results from reasoning individual rules, is developed for pattern learning. If at least one context property matches, say R, then regard the pattern as right. If the pattern is new, add right pattern, set the value of mismatched properties = 0, freq = 1 and w(R, 1). Otherwise, increase the frequency of the matched right pattern by 1 and then set w(R,freq). After finishing training, if the frequency is greater than a threshold value, then save the right pattern in knowledge base. On the other hand, if at least one context property matches, say W, then regard the pattern as wrong. If the pattern is new, modify the result into wrong answer, add right pattern, and set frequency to 1 and w(W, 1). Or, increase the matched wrong pattern's frequency by 1 and then set w(W, freq). After finishing training, if the frequency value is greater than a threshold level, then save the wrong pattern on the knowledge basis. Then, context prediction is performed with combinatorial rules as follows: first, identify current context. Second, find matched patterns from right patterns. If there is no pattern matched, then find a matching pattern from wrong patterns. If a matching pattern is not found, then choose one context property whose predictability is higher than that of any other properties. To show the feasibility of the methodology proposed in this paper, we collected actual context history from the travelers who had visited the largest amusement park in Korea. As a result, 400 context records were collected in 2009. Then we randomly selected 70% of the records as training data. The rest were selected as testing data. To examine the performance of the methodology, prediction accuracy and elapsed time were chosen as measures. We compared the performance with case-based reasoning and voting methods. Through a simulation test, we conclude that our methodology is clearly better than CBR and voting methods in terms of accuracy and elapsed time. This shows that the methodology is relatively valid and scalable. As a second round of the experiment, we compared a full model to a partial model. A full model indicates that right and wrong patterns are used for reasoning the future context. On the other hand, a partial model means that the reasoning is performed only with right patterns, which is generally adopted in the legacy alignment-prediction method. It turned out that a full model is better than a partial model in terms of the accuracy while partial model is better when considering elapsed time. As a last experiment, we took into our consideration potential privacy problems that might arise among the users. To mediate such concern, we excluded such context properties as date of tour and user profiles such as gender and age. The outcome shows that preserving privacy is endurable. Contributions of this paper are as follows: First, academically, we have improved sequential matching methods to predict accuracy and service time by considering individual rules of each context property and learning from wrong patterns. Second, the proposed method is found to be quite effective for privacy preserving applications, which are frequently required by B2C context-aware services; the privacy preserving system applying the proposed method successfully can also decrease elapsed time. Hence, the method is very practical in establishing privacy preserving context-aware services. Our future research issues taking into account some limitations in this paper can be summarized as follows. First, user acceptance or usability will be tested with actual users in order to prove the value of the prototype system. Second, we will apply the proposed method to more general application domains as this paper focused on tourism in amusement park.

• Clinical and Experimental Pediatrics
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• v.49 no.3
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• pp.312-316
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• 2006

Purpose : Growth hormone(GH) has been recognized as an effective treatment for short children born small for their gestational ages(SGA), and nowadays it has been widely used for the treatment of short children born SGA. The aim of this study is to assess the efficacy of GH treatment for the children born SGA. Methods : The study population was made of 40 short children born SGA with GH-treated(n=26) and untreated control group(n=14). In order to evaluate the effect of GH treatment, the changes in standard deviation scores(SDS) of the GH-treated group were compared to the changes in SDS before and after treatment from the control group in the same period. Results : There were no differences between the GH-treated group and the control group in gestational age, birth weight, chronological age, target height and the period of follow-up observation; however, the GH-treated group had lower height SDS($-3.3{\pm}0.9$) than the control group($-2.4{\pm}0.4$) before treatment(P<0.05). The GH-treated group had gained $1.2{\pm}1.0$ height SDS during GH treatment while the control group had gained $0.5{\pm}0.6$ height SDS. In the GH treatment group, HDL-cholesterol increased from $48.5{\pm}9.9mg/dL$ to $56.1{\pm}8.7mg/dL$(P<0.05) and LDL-cholesterol decreased from $88.1{\pm}23.3mg/dL$ to $76.4{\pm}19.4mg/dL$(P<0.05) after treatment. There were no changes in total cholesterol, triglyceride, free fatty acid and fasting blood sugar. IGF-I increased from $224.9{\pm}191.3{\mu}g/L$ to $443.2{\pm}152.5{\mu}g/L$(P<0.05) and IGFBP-3 also increased from $3.7{\pm}1.3mg/L$ to $5.6{\pm}1.2mg/L$(P<0.05). Conclusion : We conclude that growth hormone treatment is effective in the treatment of short children born SGA.

• Clinical and Experimental Pediatrics
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• v.45 no.8
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• pp.961-966
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• 2002

Purpose : We compared the underlying or associated diseases according to the frequency of platelet transfusions in neonates with thrombocytopenia to know the factors predicting which patients will require multiple platelet transfusions. We also compared mortality. Methods : A retrospective study was performed in 72 neonates who received the platelet transfusions in neonatal intensive care unit(NICU) between August 1996 and July 2001. Group I received one platelet transfusion and group II received two or more. We compared the frequency of underlying or assodiated diseases such as sepsis/disseminated intravascular coagulopathy(DIC), respiratory distress syndrome(RDS), intraventricular hemorrhage(IVH), patent ductus arteriosus (PDA), necrotizing enterocolitis(NEC), liver or renal disease, and mortality between two groups. Results : Of the 72 patients, 29(40.2%) received one and 43(59.7%) received two or more transfusions; 16(22.2%) received four or more. There were no statistically significant differences in gestational age, birth weight, sex, and maternal history between two groups. C-section rate was higher in group II(20.7% vs. 55.8%, P<0.05) and the incidence of PDA was higher in group I (55.2% vs. 30.2%, P<0.05). Otherwise, there were no statistically significant differences in the incidence of sepsis/DIC, RDS, IVH, RDS, CLD, NEC, liver or renal disease, pulmonary hemorrhage and hypoxic ischemic encephalopathy, and mortality between group I and group II. Conclusion : There was no significant difference in clinical morbidity and mortality according to the frequency of platelet transfusion in neonates with thrombocytopenia. Further study is needed to know the predicting factor for multiple platelet transfusions in neonates with thrombocytopenia.

• Journal of muscle and joint health
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• v.8 no.1
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• pp.122-140
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• 2001

The aims of this study were to understand and to predict the determinent factors affecting the exercise behaviors and physical fitness by testing the Pender's revised health promotion model, and to help the patients with rheumatoid arthritis and osteoarthritis perform the continous exercise program, and to help them maximize the physical effect such as muscle strength, endurance, and functional status and mental effects including self efficacy and quality of life, and improve the physical and mental well being, and to provide a basis for the nursing intervention strategies. Of the selected variables in this study, the endogenous variables included the physical fitness, exercise score, exercise participation, perceived benefits of action, perceived barriers of action to exercise, activity-related affect(depression) and perceived self-efficacy, interpersonal influences(family support), situational factors(duration of arthritis, fatigue) and the exogenous variables included personal sociocultural factor(education level), personal biologic factor(body mass index), personal psychologic factor(perceived health status) and prior related behavior factors(previous participation in exercise, life-style). We analyzed the clinical records of 208 patients with rheumatoid arthritis and degenerative arthritis who visited the outpatient clinics at H university hospital in Seoul. Data were composed of self reported qustionnaire and good of fitness score which were obtained by padalling the ergometer of bicycle for 9 minutes. SPSS Win 8.0 and Window LISREL 8.12a were used for statistical analysis. Of 75 hypothetical paths that influence on physical fitness, exercise participation, exercise score, perceived benefits of action, perceived barriers of action to exercise, activity-related affect(depression) and perceived self-efficacy, interpersonal influences(family support), situational factors(duration of arthritis, fatigue), 40 were supported. The physical fitness was directly influenced by life-style, perceived health status, education level, family support, fatigue, which explained 12% of physical fitness. The exercise participation were directly influenced by life-style, education level, past exercise behavior, perceived benefits of action, perceived barriers of action, depression and duration of arthritis, which explained 47% of exercise participation. Exercise score were directly affected by perceived self efficacy. BMI, life-style, past exercise behavior, perceived benefits of action, family support, perceived health status. perceived barriers of action, and fatigue, which explained 70%. Perceived benefits of action was directly influenced by BMI, life-style, which explained 39%. Perceived barriers of action were directly influeced by past exercise behavior, perceived health status, which explained 7%. Perceived self efficacy were directly influeced by level of education, perceived health status, life-style, which explained 57%. Depression were directly influeced by past exercise behavior, BMI, life-style, which explained 27%. Family support were directly influeced by life-style, perceived health status, which explained 29%. Fatigue were directly influeced by BMI, life-style, perceived health status. which explained 41%. Duration of arthritis were directly influeced by life-style, past exercise behavior, BMI, which explained 6%. In conclusion, important variables for physical fitness were life-style, and variable affecting exercise participation were life-style. Perceived self-efficacy of exercise was a significant predictor of exercise score. BMI, Life-style, perceived benefits of action, family support, past exercise behavior showed direct effects on perceived self-efficacy. Therefore, disease related factor should be minimized for physical performance and well being in nursing intervention for patients with rheumatoid arthritis, and plans to promote and continue exercise should be seeked to reduce disability. In addition, Exercise program should be planned and performed by the exact evaluation of exercise according to the ability of the patients and the contents to improve the importance of exercise and self efficacy in self control program, dedicated educational program should be involved. This study suggest that the methods to reduce the disease related factors, the importance of daily life-style, recognition of benefit of exercise, and educational program to promote self efficacy should be considered in the exercise behavior promotion and nursing intervention for continous performance. The significance of this study is also thought to provide patients with chronic arthritis the specific data for maximal physical and mental well being through exercise, chronic therapeutic procedure, daily adaptation and confrontation in nursing intervention.