• Proceedings of the Korean Institute of Building Construction Conference
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• 2008.11a
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• pp.181-186
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• 2008

The purpose of this study is analyzing the frequent defect about each inspection part of Pre-qualification of residential building reconstruction and finding the cause of occurrence so that can supply a solution of the problem during the plalnning and constructure. The frequent defects are naturally following the deterioration and more occur in the structure body than a skin. The meaning that supply the cause and the managing method for preventing frequent defects about each inspection part is as follows. To prevent the defects, it is needed that the choice of the appropriate materials, giving a sufficient space for facilities, reliable constructure for the part of expecting the defects. The quality of life will go up due to making a good dwelling environment and extending the life cycle of structures from the inspection and managing the part of expecting defects.

• Korean Journal of Clinical Laboratory Science
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• v.39 no.1
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• pp.25-30
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• 2007

In this study, the two sampling methods for blood glucose measurement were evaluated in order to reduce pre-analytical error. For this purpose, glucose levels of Li-heparinized plasma (LHP) and Na-fluorinated plasma (NFP) in blood collected from healthy volunteers were determined by using routine hexokinase procedures. The percentage range of pre-analytical error was quantitated by comparing LHP glucose values with NFP glucose values according to delaying analytical time (0, 60, and 120 min). LHP glucose values were decreased by 6.6% in 60 min., 17.7% in 120 min, whereas NFP glucose values decreased by 1.1% in 60 min, 2.0% in 120 min. Therefore it may be recommended that the NFP sampling method should be used for routine blood glucose determination in diabetes mellitus diagnosis.

• Nuclear Engineering and Technology
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• v.35 no.5
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• pp.454-470
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• 2003

In this paper, a preliminary study for development of a fault diagnosis is presented for monitoring and diagnosing faults in the agitator driving system of a high temperature reduction reactor. In order to identify a fault occurrence and classify the fault cause, vibration signals measured by accelerometers on the outer shroud of the agitator driving system are firstly decomposed by wavelet transform (WT) and the features corresponding to each fault type are extracted. For the diagnosis, the fuzzy ARTMAP is employed and thereby, based on the features extracted from the WT, the robust fault classifier can be implemented with a very short training time - a single training epoch and a single learning iteration is sufficient for training the fault classifier. The test results demonstrate satisfactory classification for the faults pre-categorized from considerations of possible occurrence during experiments on a small-scale reduction reactor.

• Journal of Korean Medical classics
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• v.33 no.4
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• pp.33-56
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• 2020

Objectives : The objective of this paper is to develop a standardized patient program with a focus on diagnosis and treatment of internal damage fever in Korean Medical education. Methods : First, cases of diagnosis and treatment of internal damage fever were collected from various classical texts, then a module was developed according to pre-existing standardized patient program's protocols based on selected cases. Careful consideration was given to developing evaluation criteria on history taking and physical examination that are necessary to accurately differentiating the 9 types. Results : Nine types of differentiation models on internal damage fever were selected, which are qi deficiency from overexertion/fatigue and famish; blood deficiency from overexertion/fatigue, famish and fullness; fire stagnation from excessive eating and cold foods; food damage; yang deficiency; yin deficiency; phlegm; stagnated blood; liver qi stagnation. For each type, evaluation criteria in regards to history taking, physical examination, communication with patient, and patient education were developed. Conclusions : When developing a standardized patient program using internal damage fever cases, it would better reflect the characteristics of Korean Medicine in clinical education of Korean Medicine if the program is based on classical texts. It would also be useful in evaluating students' graduation competence in exams such as CPX.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.06a
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• pp.211-212
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• 2007

There have three kinds of partial discharge diagnosis testing: online, offline and dismantled testing on high voltage rotating machine. Our lab testing is dismantled testing, taking off pieces into individual parts of stator coil of high voltage rotating machine in laboratory. We investigate internal discharge, slot discharge, corona discharge and normal state on pre-made stator winding by using spiral patch antenna sensor. In this lab test we compare the experimental results of our spiral patch antenna sensor and reference commercial HFCT sensor.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.61-68
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• 2024

In the quest for advancing diabetes diagnosis, this study introduces a novel two-step machine learning approach that synergizes the probabilistic predictions of Logistic Regression with the classification prowess of Random Forest. Diabetes, a pervasive chronic disease impacting millions globally, necessitates precise and early detection to mitigate long-term complications. Traditional diagnostic methods, while effective, often entail invasive testing and may not fully leverage the patterns hidden in patient data. Addressing this gap, our research harnesses the predictive capability of Logistic Regression to estimate the likelihood of diabetes presence, followed by employing Random Forest to classify individuals into diabetic, pre-diabetic or nondiabetic categories based on the computed probabilities. This methodology not only capitalizes on the strengths of both algorithms-Logistic Regression's proficiency in estimating nuanced probabilities and Random Forest's robustness in classification-but also introduces a refined mechanism to enhance diagnostic accuracy. Through the application of this model to a comprehensive diabetes dataset, we demonstrate a marked improvement in diagnostic precision, as evidenced by superior performance metrics when compared to other machine learning approaches. Our findings underscore the potential of integrating diverse machine learning models to improve clinical decision-making processes, offering a promising avenue for the early and accurate diagnosis of diabetes and potentially other complex diseases.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.39 no.5
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• pp.224-230
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• 2013

Objectives: Papilloma frequently develops as a benign tumor of the head and neck area, but its potential for malignant transformation has yet to be studied. This study aims to provide basic information for papillomas using the immunohistochemical staining of matrix metalloproteinase 2 (MMP-2) and human papilloma virus (HPV) 16 and 18. Materials and Methods: To evaluate the malignant transformation of papillomas, the selected tissue samples were serially diagnosed with pre-cancerous papilloma (with epithelial dysplasia, pseudo-epitheliomatous hyperplasia) or malignant lesion (squamous cell carcinoma, SCC) after the first diagnosis (squamous papilloma, inverted papilloma). The selected tissues were stained with an antibody to MMP-2 and HPV 16-E7, HPV 18-L1. A statistical analysis was performed according to each transformation step. Results: The epithelial layer of papilloma and pre-cancerous papilloma lesions had a similar MMP-2 expression, but that of the malignant lesion had a significantly increased MMP-2 expression. HPV 16 and 18 infection rates were 28.6%, 33.3% and 63.6% in papillomas, pre-cancerous papilloma lesions, and SCC. Conclusions: A relatively high MMP-2 expression and HPV 16 or 18 infection of papillomas may be associated with early events in the multistep processes of malignant transformation of papillomas.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.17 no.3
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• pp.155-161
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• 2014

Purpose: Constipation is a common pediatric problem worldwide. This study aims to describe the clinical characteristics of pediatric constipation in south Jordan according to gender and age group. Methods: All patients with constipation managed at our pediatric gastroenterology service between September 2009 and December 2012 were included. Hospital charts were reviewed. Demographic data, clinical characteristics, and final diagnosis were recorded. Data were analyzed according to gender and the following age groups: infants, pre-school, school age, and adolescents. Results: During the study period, 126 patients were enrolled. The number (percentage) of patients according to age were the following infants: 43 (34.1%), pre-school: 55 (43.7%), school age: 25 (19.8%), and adolescents: 3 (2.4%). Males made up 54.8% of the study population. There were no statistical gender differences in any age group. The most common symptom in all age groups was dry, hard stool. Infrequent defecation was found in almost one-half of the patients. Fecal incontinence was more common in school-aged children compared to pre-school-aged children and adolescents. Abdominal pain was seen in almost 40% of the constipated children. Abdominal pain was more prevalent in girls and older children. Fecal mass in the rectum was the most common physical finding, with constipated boys exhibiting higher rates. Functional constipation was the most common etiology. Conclusion: Clinical characteristics of constipation in children vary according to age group and gender. Older children had less frequent bowel motions, a longer duration of symptoms, and a higher prevalence of long-standing constipation compilations (fecal incontinence and abdominal pain).

• Maxillofacial Plastic and Reconstructive Surgery
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• v.32 no.1
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• pp.68-71
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• 2010

Facial nerve schwannomas (FNSs) are usually painless, slow-growing, and without specific symptoms, so that early diagnosis may be difficult. They are particularly liable to being misdiagnosed as parotid gland origin benign tumor before surgery, which can lead to unnecessary parotidectomy or unexpected facial nerve injury. To prevent these complications, it is important that the correct diagnosis is performed at least in intraoperative time. When an adhesion between the mass and the facial nerve is exist or when electrical stimulation of the mass triggers facial movement, FNS is highly suggested diagnosis. In such cases, frozen section analysis should always be performed. In this case, the pre-operative diagnosis from clinical examination and MRI was pleomorphic adenoma. However, intraoperative features led us to suspect that the mass originated from facial nerves, and intraoperative frozen section analysis yielded results consistent with a schwannoma. Based on this intraoperative diagnosis, we carried out a successful conservative treatment with preservation of facial nerve.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.21 no.2
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• pp.118-126
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• 2018

Purpose: Classical criteria for diagnosis of autoimmune hepatitis (AIH) are intended as research tool and are difficult to apply at patient's bedside. We aimed to study the accuracy of simplified criteria and the concordance with the expert diagnosis based on the original criteria. Methods: A cohort of children under study for liver disorder was selected through consecutive sampling to obtain the prevalence of AIH within the group of differential diagnoses. AIH was defined, based on classical criteria, through committee review of medical reports. Validity indicators of the simplified criteria were obtained in an intention to diagnose approach. Optimal cut-off and the area under the receiver operating characteristic (ROC) curve were calculated. Results: Out of 212 cases reviewed, 47.2% were AIH. For the optimal cut-off (6 points), the simplified criteria showed a sensitivity of 72.0% and a specificity of 96.4%, with a 94.7% positive and a 79.4% negative predictive value. The area under the ROC curve was 94.3%. There was a good agreement in the pre-treatment concordance between the classical and the simplified criteria (kappa index, 0.775). Conclusion: Simplified criteria provide a moderate sensitivity for the diagnosis of AIH, but may help in indicating treatment in cases under suspicion with 6 or more points.