• Korean Journal of Clinical Pharmacy
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• v.30 no.1
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• pp.59-64
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• 2020

The emergence of phosphodiesterase (PDE) 5 inhibitors gave rise to the solution for erectile dysfunction, starting with the development of sildenafil. Although their efficacy in treating erectile dysfunction has been shown, the side effects of PDE5 inhibitors, especially sildenafil, must be taken into consideration. A 64-year-old man received 100 mg of sildenafil and experienced blue vision in both eyes; however, after a day or so, his symptoms improved. The symptoms disappeared when he stopped administering sildenafil, but reappeared when the medication was re-administered. Therefore, he discontinued sildenafil treatment and was prescribed udenafil instead. After that, visual adverse events no longer occurred. Causality assessment showed that in this case, sildenafil-induced cyanopsia was "certain" under the World Health Organization-Uppsala Monitoring Center (WHO-UMC) criteria and Korean causality assessment algorithm (Ver.2), and was "probable" according to the Naranjo scale. In addition, sildenafil also led to abnormal visual reactions in other cases. Sildenafil can also inhibit PDE6, which is present in retinal cells, unlike other PDE5 inhibitors. Thus, visual adverse reactions, such as blue vision, are the unique results of sildenafil, and other PDE5 inhibitors may be used to prevent them.

• Korean Journal of Artificial Intelligence
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• v.8 no.1
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• pp.7-9
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• 2020

In this paper, a study was conducted to find a self-diagnosis method to prevent the spread of COVID-19 based on machine learning. COVID-19 is an infectious disease caused by a newly discovered coronavirus. According to WHO(World Health Organization)'s situation report published on May 18th, 2020, COVID-19 has already affected 4,600,000 cases and 310,000 deaths globally and still increasing. The most severe problem of COVID-19 virus is that it spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, which occurs in everyday life. And also, at this time, there are no specific vaccines or treatments for COVID-19. Because of the secure diffusion method and the absence of a vaccine, it is essential to self-diagnose or do a self-diagnosis questionnaire whenever possible. But self-diagnosing has too many questions, and ambiguous standards also take time. Therefore, in this study, using SVM(Support Vector Machine), Decision Tree and correlation analysis found two vital factors to predict the infection of the COVID-19 virus with an accuracy of 80%. Applying the result proposed in this paper, people can self-diagnose quickly to prevent COVID-19 and further prevent the spread of COVID-19.

• Journal of Multimedia Information System
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• v.4 no.4
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• pp.301-306
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• 2017

This study is intended to analyze colors felt in TV commercials among video contents, to provide basic resources of color plan that can be applied to production of contents and to help acceptors to change their mood and to lower depression levels. Many studies have revealed the obvious correlation between depression and suicide, so the World Health Organization(WHO) recommends the importance of media by recognizing public that depression is a serious risk factor that leads to suicides and by asserting the necessity of establishing social environment for active treatment. Contents production companies have social and cultural responsibility to convey correct information and to make acceptors have positive emotions. If the result of colors that emotionally healthy people feel through this study is used for production of video contents, it will be helpful to lower the depression scale and to prevent and treat depression by providing visual comfort. In addition, it is expected to be used as an important basic resource for not only production of video contents but also color plan of industrial fields.

• Korean Journal of Artificial Intelligence
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• v.6 no.2
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• pp.17-22
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• 2018

According to the World Health Organization, the top 10 causes of death worldwide include heart disease. Heart diseases include coronary disease, which induces acute myocardial infarction. Ticagrelor drugs are being used to treat acute alliances, but it has become difficult to breathe due to the drugs. In a related study, Tobias predicted that uric acid causes acute respiratory distress independently of other factors, including BNP. And in the Ahmad study, serum uric acid numbers were related to the left ventricle depending on the level of uric acid. Experimental data are data used after 155 patients who received coronary intervention took ticagrelor. The research methods were leveraged by gradient decent algorithm and linear regression. In order to avoid overfitting in the experiment, training data and test data were separated into 70 and 30 percent respectively. The experimental results lacked the predictability of other attributes except DT in the correlation coefficient and crystal coefficient. However, all attributes related to dyspnea other than DT are determined to be related to causing relaxation of the heart in the left ventricle. Therefore, the attribute causing dyspnea is determined to be an attribute causing relaxation of the heart of the DT and left ventricle.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.40 no.4
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• pp.199-203
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• 2014

Clear cell odontogenic carcinoma (CCOC) is a rare jaw tumor that was classified as a malignant tumor of odontogenic origin in 2005 by the World Health Organization because of its aggressive and destructive growth capacity and metastasis to the lungs and lymph nodes. We report a case of a 66-year-old female who had swelling, incision and drainage history and a well-defined unicystic radiolucent lesion that was comparable to a cystic lesion. At first, the patient received decompression, and the lesion size decreased. Three months after decompression, cyst enucleation was performed. The pathologic result indicated that the lesion was CCOC. In this report we emphasize that patients with painful cystic lesions in addition to jaw enlargement and loosening teeth should be considered for the possibility of malignancy.

• Korean Journal of Clinical Pharmacy
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• v.26 no.4
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• pp.291-297
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• 2016

Background: The current educational goals and missions of pharmacy schools in Korea were analyzed to examine the current orientation and future direction of pharmaceutical education. Methods: Educational mission statements were obtained from the homepages of 35 pharmacy schools and subjected to convert into codes. Themes and categories were induced using qualitative content-analysis from the codes and compared according to location of school (capital area versus province), public versus private, and date of initial enrollment (before versus in 2011). The themes and categories were compared with "the eight-star pharmacist" suggested by World Health Organization (WHO) and International Pharmaceutical Federation (FIP). Results: Twelve themes, 44 categories, and 496 codes were identified. Themes included pharmaceutical expertise, professionalism, contribution to society, basic educational ideology, sphere of activity, leadership, research, dealing with future change, problem-solving ability, self-management and development, cooperation, and respect for life. Mission statements of schools that initially enrolled in 2011 cited humankind level contribution (p=0.011), patient-centered care (p=0.026), and globalization (p=0.018) more frequently than those enrolled before 2011. Most schools mentioned about care-giver, researcher, and decision-maker which were stated in "the eight-star pharmacist". Conclusion: To meet the growing social requirements of a pharmacist's roles, wide-ranging active discussion on establishing educational goals should be made.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3519-3533
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• 2020

Tuberculosis is a chronic and delayed infection which is easily experienced by young people. According to the statistics of the World Health Organization (WHO), there are nearly ten million fell ill with tuberculosis and a total of 1.5 million people died from tuberculosis in 2018 (including 251000 people with HIV). Tuberculosis is the largest single infectious pathogen that leads to death. In order to help doctors with tuberculosis diagnosis, we compare the tuberculosis classification abilities of six popular convolutional neural network (CNN) models in the same data set to find the best model. Before training, we optimize three parts of CNN to achieve better results. We employ sigmoid function to replace the step function as the activation function. What's more, we use binary cross entropy function as the cost function to replace traditional quadratic cost function. Finally, we choose stochastic gradient descent (SGD) as gradient descent algorithm. From the results of our experiments, we find that Densenet121 is most suitable for tuberculosis diagnosis and achieve a highest accuracy of 0.835. The optimization and expansion depend on the increase of data set and the improvements of Densenet121.

• Journal of Korean Neurosurgical Society
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• v.39 no.2
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• pp.144-147
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• 2006

Rhabdoid meningioma is an uncommon meningioma variant, which was initially described in 1998 by Perry et al. It is classified as a variant corresponding to grade III in the recent World Health Organization[WHO] classification of tumors of the nervous system, because of its unique histopathological features and its highly aggressive clinical course. To date there were still a lot of arguments about their developmental patterns and the treatment strategy especially for rhabdoid meningiomas lacking other histological features of malignancy. Although the exact causes of rhabdoid transformation of a benign meningioma are unknown, malignant transformation long duration after surgical resection under an underlying predilection for malignancy is suggested in our case. And we suggest that any histological rhabdoid features in recurrent meningiomas or even in primary cases seem to indicate the malignant clinical course and the need for aggressive treatments, because transformation from a benign or atypical one to a malignant one seems to occur at last.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1183-1191
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• 2016

According to WHO (World Health Organization), Korea ranked 1st place for TB mortality rate among OECD countries. In order to improve the situation, several administrative policies have been suggested and their efforts start showing some improvement. Meanwhile, those policies must be supported by solid scientific evidences by conducting appropriate statistical analyses. In particular, incidence and mortality rates of respiratory infectious disease such as TB must be analyzed considering their geographical characteristics. In this paper, we analyzed TB mortality rates in Korea from 2000 to 2011 using one of bayesian spatio-temporal models, which is implemented as R package (R-INLA).

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.120-121
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• 2018

Radon is one of the substances that pollute the indoor air and is classified as a first-level carcinogen by the International Agency for Research on Cancer(IARC) together with asbestos, and it is reported that it can cause lung cancer. The World Health Organization(WHO) reports that lung cancer is the second leading cause of lung cancer, and 6-15% of lung cancer patients report lung cancer caused by radon. Radon occurs in cracks in concrete and aged buildings, and is detected in soil, rocks, groundwater, and so on. It is a colorless, odorless and tasteless gas which is adsorbed to dust in the air and enters through human respiratory system. This study used vermiculite (expanded vermiculite), which has excellent ion exchange ability and a large number of pores, and industrial by - product red mud which has heavy metal adsorption ability, in order to adsorb radon. A matrix capable of adsorbing radon was prepared, and the characteristics of each material were compared and analyzed.