• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.373-384
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• 2014

Data mining is to clarify pattern or correlation of mass data of complicated structure and to predict the diverse outcomes. This technique is used in the fields of finance, telecommunication, circulation, medicine and so on. In this paper, we selected risk factors of respiratory diseases in the field of medicine. The data we used was divided into respiratory diseases group and health group from the Gyeongsangbuk-do database of Community Health Survey conducted in 2012. In order to select major risk factors, we applied data mining techniques such as neural network, logistic regression, Bayesian network, C5.0 and CART. We divided total data into training and testing data, and applied model which was designed by training data to testing data. By the comparison of prediction accuracy, CART was identified as best model. Depression, smoking and stress were proved as the major risk factors of respiratory disease.

• Journal of Periodontal and Implant Science
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• v.35 no.1
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• pp.43-52
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• 2005

This study was performed to evaluate the relation between the interval of supportive periodontal therapy and the prevalence of the subgingival microflora. The subgingival plaques from 108 patients were used in the study. Control group were the patients with no periodontal treatment and test groups were assigned into 3 groups according to the period of recall check: group 1; 1-2 months, group 2; 3-4 months, group 3; 6months or more. The polymerase chain reaction (PCR) used for direct identification of periodontal pathogens (P. gingivalis, T. forsythensis, T. denticola) in subgingival plaque. The results of this study were as follows. 1. The prevalence of P. gingivalis, T. forsythensis, T. denticola in control group were 100%, 87%, 90%. 2. In clinical parameters such as plaque index, gingival index, bleeding on probing, control group was not significant different with group 1 but Significant different with group 2, group 3. 3. In group 1, the majority of P. gingivalis had type II fimA. 4. When group 3 were compared with group 1, the prevalence of P. gingivalis increased. But the prevalence of P. gingivalis with type II fimA, which have the virulence factor, decreased. 5. We were unable to find the correlation between P. gingivalis with type IV fimA and periodontal disease. 6. The prevalence of T. forsythensis, T. denticola in test group were 85%, 93% or more. From the above results, we were able to find the relation between the interval of supportive periodontal therapy and the prevalence of the subgingival microflora and the need of the strict supportive periodontal therapy to prevent recurrence of periodontal disease, because there were high prevalence of periodontal pathogens.

• Anxiety and mood
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• v.11 no.1
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• pp.54-60
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• 2015

Objective : To translate Center for Epidemiologic Studies Depression Scale (CES-D) into North Korean language and to examine its reliability and validity Methods : North Korean defectors (n=207) recruited from the call center for North Korean defectors participated. Psychiatrists and psychiatric residents interviewed the participants and made the psychiatric diagnoses. Subsequently, the participants completed the CES-D, Impact of Event-Scale-Revised-North Korea (IES-R-NK), Alcohol Use Disorders Identification Test-North Korea (AUDIT-NK), and Brief Psychological State Inventory for North Korean Refugees (BPSI-NKR) questionnaires. Of the original participants, 143 subjects participated in test-retest reliability study after one week. Results : Cronbach's alpha coefficient of CES-D-NK was superior in both males (0.91) and females (0.93). The test-retest correlation coefficient was high (males, 0.64 ; femals, 0.79). Good convergent validity was evident by significant correlations with IER-R-NK, BPSI-NKR-Depression and BPSI-NKR-PTSD, respectively. CES-D-NK had no or weak correlations with AUDIT-NK and BPSI-NKR-Alcohol, showing its discriminant validity. Conclusion : CES-D-NK could be a reliable and valid tool for screening and assessing depressive symptoms of North Korean defectors.

• BMB Reports
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• v.36 no.4
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• pp.409-416
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• 2003

The isoform 1 of cyclodextrin glycosyltransferase (CGTase, EC 2.4.1.19) from Paenibacillus sp. A11 was purified by a preparative gel electrophoresis. The importance of histidine, tryptophan, tyrosine, and carboxylic amino acids for isoform 1 activity is suggested by the modification of the isoform 1 with various group-specific reagents. Activity loss, when incubated with diethylpyrocarbonate (DEP), a histidine modifying reagent, could be protected by adding 25 mM methyl-$\beta$-cyclodextrin substrate prior to the modification. Inactivation kinetics of isoform 1 with DEP resulted in second-order rate constants ($k_{inactivation}$) of $29.5\;M^{-1}s^{-1}$. The specificity of the DEP-modified reaction for the histidine residue was shown by the correlation between the loss of isoform activity and the increase in the absorbance at 246 nm of N-carbethoxyhistidine. The number of histidines that were modified by DEP in the absence and presence of a protective substrate was estimated from the increase in the absorbance using a specific extinction coefficient of N-carbethoxyhistidine of $3,200\;M^{-1}cm^{-1}$. It was discovered that methyl-$\beta$-CD protected per mole of isoform 1, two histidine residues from the modification by DEP. To localize essential histidines, the native, the DEP-modified, and the protected forms of isoform 1 were digested by trypsin. The resulting peptides were separated by HPLC. The peptides of interest were those with $R_t$ 11.34 and 40.93 min. The molecular masses of the two peptides were 5,732 and 2,540 daltons, respectively. When the data from the peptide analysis were checked with the sequence of CGTase, then His-140 and His-327 were identified as essential histidines in the active site of isoform 1.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.663-670
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• 2019

Corrective thermal performance analysis is required for power plants' turbine cycles to determine the performance status of the cycle and improve the economic operation of the power plant. We developed a sectional classification method for the main feed-water flow to make precise corrections for the performance analysis based on the Performance Test Code (PTC) of the American Society of Mechanical Engineers (ASME). The method was developed for the estimation of the turbine cycle performance in a classified section. The classification is based on feature identification of the correlation status of the main feed-water flow measurements. We also developed predictive algorithms for the corrected main feed-water through a Kernel Regression (KR) model for each classified feature area. The method was compared with estimation using an Artificial Neural Network (ANN). The feature classification and predictive model provided more practical and reliable methods for the corrective thermal performance analysis of a turbine cycle.

• Journal of Distribution Research
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• v.12 no.1
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• pp.65-84
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• 2007

The relation between franchiser and franchisee participated the franchise system was studied focused on brand for the correlation of relationship dissolution. Basically the relation among brand equity, internal brand, conflict and relationship dissolution based on brand on franchise system were investigated. The study of external factor and internal one of brand recognized by franchisee was conducted. The questionnaire was carried out for franchisee participated of national franchise system. The results showed that the brand external factor of brand transaction cost, brand equity and brand communication had influence on brand dissolution by the affection of brand identification and conflict classified as brand internal factor. In addition, brand internal reinforcement factor affected brand dissolution also. The structural causal inference between internal factor and external one was examined. Finally, the theoretical and managerial insight were suggested on the brand role for the consecutive relation as well as the limit of the study and future suggestion were included.

• Science of Emotion and Sensibility
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• v.5 no.2
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• pp.1-9
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• 2002

It is already known that olfactory susceptibility differ with races and sex. Moreover, with aging both detection and identification about olfactory information were impaired. For researches about evaluation of the odor with aging, although the subject used, from infants to elderly, was various, the kinds of odor used were restricted to simple alcohol and acetic acid. Also, the evaluation methods were mainly used olfactory test. From over respects , this research was done as follows. Subjects were 19 to 72 years (n=50) whose sense-of-smell functions are normal. They were taken as stability and closed eye state. The odor stimuli were used 100% natural odor of six kinds of Basil, Lavender, Lemon, Jasmine, Ylangylang oil and Skatole , during 60 seconds using olfactometer. ECG, GSR and subjective evaluation were measured, and examined their relevance. Twenty and 40 ages group evaluated Lemon and 60 ages group did Lavender affirmatively. Correlation was seen among RRI, HR, GSR and subjective evaluation for 40 ages group, and it turns out that it is the group which a mature olfactory function most. These results are fully applied not only to development of the classified cosmetics for the age group but to development of the artificial smell and taste.

• The Korean Journal of Cytopathology
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• v.5 no.1
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• pp.10-14
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• 1994

The expression of sex steroid hormone receptors by neoplastic cells is an important predictor of response to hormone therapy. Thus, the selection of treatment modality is often based on the identification of receptors in tumor tissue. Various monoclonal antibodies of high specificity are now available for analyzing the estrogen receptor (ER). With these antibodies, biochemical enzyme immunoassay and immunohistochemistry using histologic sections have been used for ER analysis. We used fine needle aspirates from 15 human primary breast carinomas for the analysis of ERs. The semiquantitative receptor values obtained in cytologic specimens were correlated well with those from histologic specimens. The results of ER in fine needle aspirates were concordant with ER in histologic specimens(r=0.94). Only three cases showed a little difference in staining intensity and proportion of positive cells. Our results showed a good correlation between the receptor values determined in cytologic smears and those determined in tissue sections. It is suggested that measurement of the ER in cytologic smears may be a reliable technique which can be performed on aspiration cytologic samples.

• Imaging Science in Dentistry
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• v.45 no.4
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• pp.213-220
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• 2015

Purpose: The aim this study was to compare the accuracy of orthodontists and dentomaxillofacial radiologists in identifying 17 commonly used cephalometric landmarks, and to determine the extent of variability associated with each of those landmarks. Materials and Methods: Twenty digital lateral cephalometric radiographs were evaluated by two groups of dental specialists, and 17 cephalometric landmarks were identified. The x and y coordinates of each landmark were recorded. The mean value for each landmark was considered the best estimate and used as the standard. Variation in measurements of the distance between landmarks and measurements of the angles associated with certain landmarks was also assessed by a subset of two observers, and intraobserver and interobserver agreement were evaluated. Results: Intraclass correlation coefficients were excellent for intraobserver agreement, but only good for interobserver agreement. The least reliable landmark for orthodontists was the gnathion (Gn) point (standard deviation [SD], 5.92 mm), while the orbitale (Or) was the least reliable landmark (SD, 4.41 mm) for dentomaxillofacial radiologists. Furthermore, the condylion (Co)-Gn plane was the least consistent (SD, 4.43 mm). Conclusion: We established that some landmarks were not as reproducible as others, both horizontally and vertically. The most consistently identified landmark in both groups was the lower incisor border, while the least reliable points were Co, Gn, Or, and the anterior nasal spine. Overall, a lower level of reproducibility in the identification of cephalometric landmarks was observed among orthodontists.

• Korean Chemical Engineering Research
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• v.46 no.6
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• pp.1043-1051
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• 2008

In polyolefin processes melt index (MI) is the most important controlled variable indicating product quality. Because of the difficulty in the on-line measurement of MI, a lot of MI estimation and correlation methods have been proposed. In this work a new dynamic MI estimation scheme is developed based on system identification techniques. The empirical MI estimation equation proposed in the present study is derived from the $1^{st}$-order dynamic models. Effectiveness of the present estimation scheme was illustrated by numerical simulations based on plant operation data including grade change operations in high density polyethylene (HDPE) processes. From the comparisons with other estimation methods it was found that the proposed estimation scheme showed better performance in MI predictions. Using the model predictive control method based on the present dynamic MI estimation model, MI values are estimated and compared with those of MI setpoints. From the numerical simulation of the proposed control system, it was found that significant reduction of transition time and the amount of off-spec during grade changes were achieved.