• Journal of Environmental Science International
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• v.16 no.8
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• pp.995-999
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• 2007

This study assessed the characteristics of emission and cell toxicology of Methylethylketone(MEK) in ambient air of industrial area. MEK is produced by the oxidation of sec-butyl alcohol and used as the solvent for making ink, printing, coating of film, bonding material and drug extraction. The MEK concentrations in the ambient-air of industrial area in Gimhae City was detected in the range of $25.4{\sim}1,580{\mu}g/m^3$ with an average $297.4{\mu}g/m^3$. The concentration of MEK showed a descending tendency from April to August followed by its increased tendency since then. The effects of MEK on the human lung cancer A549 cells was examined by the generation of Reactive Oxygen Species(ROS) and cytotoxicity. The range of MEK concentration detected in the area induced ROS generation affecting the oxidation state with a little effects on the viability of the cells.

• Journal of Computing Science and Engineering
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• v.7 no.2
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• pp.112-121
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• 2013

The last years have seen a rise of interest in using electroencephalography-based brain computer interfacing methodology for investigating non-medical questions, beyond the purpose of communication and control. One of these novel applications is to examine how signal quality is being processed neurally, which is of particular interest for industry, besides providing neuroscientific insights. As for most behavioral experiments in the neurosciences, the assessment of a given stimulus by a subject is required. Based on an EEG study on speech quality of phonemes, we will first discuss the information contained in the neural correlate of this judgement. Typically, this is done by analyzing the data along behavioral responses/labels. However, participants in such complex experiments often guess at the threshold of perception. This leads to labels that are only partly correct, and oftentimes random, which is a problematic scenario for using supervised learning. Therefore, we propose a novel supervised-unsupervised learning scheme, which aims to differentiate true labels from random ones in a data-driven way. We show that this approach provides a more crisp view of the brain states that experimenters are looking for, besides discovering additional brain states to which the classical analysis is blind.

• Journal of Information Processing Systems
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• v.2 no.3 s.4
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• pp.189-193
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• 2006

In this study we propose an automatic reading system for diagnostic DNA chips. We define a general specification for an automatic reading system and propose a possible implementation method. The proposed system performs the whole reading process automatically without any user intervention, covering image acquisition, image analysis, and report generation. We applied the system for the automatic report generation of a commercialized DNA chip for cervical cancer detection. The fluorescence image of the hybridization result was acquired with a $GenePix^{TM}$ scanner using its library running in HTML pages. The processing of the acquired image and the report generation were executed by a component object module programmed with Microsoft Visual C++ 6.0. To generate the report document, we made an HWP 2002 document template with marker strings that were supposed to be searched and replaced with the corresponding information such as patient information and diagnosis results. The proposed system generates the report document by reading the template and changing the marker strings with the resultant contents. The system is expected to facilitate the usage of a diagnostic DNA chip for mass screening by the automation of a conventional manual reading process, shortening its processing time, and quantifying the reading criteria.

• Journal of Information Processing Systems
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• v.9 no.1
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• pp.103-116
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• 2013

Prostate cancer is one of the most frequent cancers in men and is a major cause of mortality in the most of countries. In many diagnostic and treatment procedures for prostate disease accurate detection of prostate boundaries in transrectal ultrasound(TRUS) images is required. This is a challenging and difficult task due to weak prostate boundaries, speckle noise and the short range of gray levels. In this paper a method for automatic prostate segmentation in TRUS images using Gabor feature extraction and snake-like contour is presented. This method involves preprocessing, extracting Gabor feature, training, and prostate segmentation. The speckle reduction for preprocessing step has been achieved by using stick filter and top-hat transform has been implemented for smoothing the contour. A Gabor filter bank for extraction of rotation-invariant texture features has been implemented. A support vector machine(SVM) for training step has been used to get each feature of prostate and nonprostate. Finally, the boundary of prostate is extracted by the snake-like contour algorithm. A number of experiments are conducted to validate this method and results showed that this new algorithm extracted the prostate boundary with less than 10.2% of the accuracy which is relative to boundary provided manually by experts.

• Progress in Medical Physics
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• v.15 no.2
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• pp.70-76
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• 2004

The most important work for early detection of liver cancer and decision of its characteristic and location is good segmentation of a liver region from other abdominal organs. This paper proposes a fully automatic liver segmentation algorithm based on the abdominal morphology characteristic as an easy and efficient method. Multi-modal threshold as pre-processing is peformed and a spine is segmented for finding morphological coordinates of an abdomen. Then the liver region is extracted using C-class maximum a posteriori (MAP) decision and morphological filtering. In order to estimate results of the automatic segmented liver region, area error rate (AER) and correlation coefficients of rotational binary region projection matching (RBRPM) are utilized. Experimental results showed automatic liver segmentation obtained by the proposed algorithm provided strong similarity to manual liver segmentation.

• Journal of Biomedical Engineering Research
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• v.25 no.4
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• pp.235-242
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• 2004

In this paper, we proposed the algorithm for detection of microtalcification by automatic threshold decision based on region growing method. The region for optimal threshold is grown from local maximum pixel by increasing repeatedly threshold in microralcification candidate region. Then, the optimal threshold is automatically decided at the maximum value of the contrast and edge sharpness in this region. Microcalcifications could be efficiently detected as satisfied result that true positive ratio is 81.5% and average false positive numbers are 1.1 about total 299 microcalcifirations in real image. In a result, we showed that this algorithm can be used to aid diagnostic-radiologist for the diagnosis of the early phase of breast cancer.

• Korean Journal of Health Education and Promotion
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• v.22 no.4
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• pp.179-202
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• 2005

Purpose: The purpose of this study was to develop the health promotion program for rural elderly through PRECEDE process. Method: The health promotion program was developed based on the preliminary diagnosis. The data collection was performed from March 10th to April 9th, 2003. The subjects were selected at Mari Myun, Geochang Gun, in Korea. The preliminary diagnosis was examined with the 115 elders. Data was analyzed by descriptive statistics and Cronbach's n test with SPSS/Win 10.0 program. Results: The health promotion program was developed based on diagnostic result using PRECEDE model. The developed program was corrected and revised with the advices from 6 experts. The final program included health responsibility(cancer prevention and early detection, hygienic, false teeth management no smoking and moderation in drink, and chronic disease prevention and management), physical activity(6 kinds of exercise), nutrition(low sodium diet calcium intake, and right eating habit), spiritual growth(spiritual demand and death preparation teaching), interpersonal relations(relationship with couple, children, grandchildren, neighborhood), and stress management(sports dance, foot massage, positive thought, and song class). Conclusion: I propose that it is necessary to identity the effect of health promotion program for rural elderly. And strategy development that can spread the health promotion program elderly is needed.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.34 no.5
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• pp.363-366
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• 2012

Peutz-Jeghers syndrome is a rare syndrome with characteristic features of multiple hamartomatous polyps and mucocutaneous pigmentation. This syndrome is an autosomal dominant disease, and has complications related with polyps of the gastrointestinal tract, such as small bowel obstruction, iron deficiency anemia associated with bleeding, and intussusceptions. Many studies have reported about higher cancer risk of patients with this syndrome than those with no syndrome in the gastrointestinal tract, including gastric, duodenal, jejunal and the extragastrointestinal organs, such as gallbladder, breast and reproductive system. There are guidelines for periodic test for early detection and treatment for higher risk organs. We report a case of Peutz-Jeghers syndrome patient in the emphasis of Oral and Maxillofacial surgeon's role with review of the literature.

• Journal of the Optical Society of Korea
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• v.11 no.1
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• pp.26-33
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• 2007

We demonstrate the capability of differential-phase optical coherence tomography (DP-OCT) to detect superparamagnetic iron oxide (SPIO) nanoparticles taken up by liver parenchymeal macrophages (Kupffer cells). We apply an external time-varying high-intensity focused magnetic field. Our experiments demonstrate a novel diagnostic modality to detect macrophages that have taken up SPIO nanoparticles. Magnetic force acting on the nanoparticles was varied by applying a sinusoidal current to a solenoid containing a conical iron core that substantially increased and focused the magnetic field strength ($B_{max}$ = 2 Tesla). $ApoE^{-/-}$ mice were sacrificed 2 days post intravenous injections of different SPIO doses (1.0, and 0.1 mmol Fe/kg body weight). Livers of $ApoE^{-/-}$ mice with and without injection of SPIO nanoparticles were investigated using DP-OCT, which detects tissue movement with nanometer resolution. Frequency response of iron-laden liver movement was twice the stimulus frequency. Movement was not observed in livers of control mice. Results of our experiments indicate DP-OCT is a candidate methodology to detect tissue based macrophages containing SPIO nanoparticles excited by an external focused magnetic field.

• Korean Journal of Adult Nursing
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• v.14 no.2
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• pp.233-243
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• 2002

Purpose: This study is aimed at testing the effect of health promotion program on health promoting behavior and cardiovascular risk factors of middle-aged women. Method: The research design was the nonequivalent control group pre-post test. Twelve middle-aged women were the experimental group and ten were the control group. The 8-week health promotion program was given to the experimental group. There were health promotion theories, flexibility and muscle strength exercise, cardiopulmonary endurance exercise, nutrition, stress management, cancer prevention and early detection, management of menopause and wrap-up in health promotion program for middle-aged women. The measurement tool was Health Promoting Behavior developed by researcher using serum cholesterol, obesity rate, systolic blood pressure, and diastolic blood pressure as cardiovascular risk factors. Result: The experimental group showed a higher score of health promoting behavior than the control group. There were no differences on cardiovascular risk factors(cholesterol, obesity rate, diastolic blood pressure) between the experimental and control groups except systolic blood pressure. Conclusion: Conclusively, this health promotion program for middle-aged women was effective in increasing health promotion behaviors, but wasn't effective in decreasing cardiovascular risk factors except the systolic blood pressure. It seems it's necessary to re-study this using more samples and a longer duration of the program, and smaller mortality rate.