• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
• /
• v.29 no.2
• /
• pp.87-93
• /
• 2018

Background and Objectives : Laryngopharyngeal reflux disease (LPRD) is relatively common disease. N-acetyl cysteine (NAC) has both mucolytic and antioxidant effect, also may be beneficial in inflammatory airway diseases. The purpose of this study was to evaluate the efficacy and safety of inhaled NAC therapy in LPRD. Materials and Method : We retrospectively reviewed the medical records of 525 LPRD patients at 12 medical centers. Finally 401 patients subjected to inhaled NAC therapy for 2 months were enrolled in the study. We analyzed the change of Reflux Symptom Index (RSI) and Reflux Finding Score (RFS) after use of NAC for 4 weeks and 8 weeks in addition to the patient's compliance of the treatment. Results : The RSI score significantly decreased from $19.87{\pm}6.34$ to $12.78{\pm}6.93$ after 4 weeks and to $10.65{\pm}7.47$ after 8 weeks. The RFS score also significantly decreased from $9.29{\pm}3.4$ to $7.17{\pm}3.41$ after 4 weeks and to $6.1{\pm}3.73$ after 8 weeks (p<0.05). During the treatment periods, 42 patients (10.4%) reported to have 80 episodes of discomfort. Throat discomfort (33%) and nausea (28%) were most common complaints, but the duration of discomfort was usually less than 4 weeks. Conclusion : Inhaled NAC treatment is highly effective for the reduction of both subjective and objective findings in LPRD patients. This study will provide the evidence of new treatment option for patients with LPRD. However, further studies will be needs to assess the real effect of inhaled NAC therapy as a standard treatment regimen of LPRD.

• Journal of The Korean Society of Grassland and Forage Science
• /
• v.38 no.4
• /
• pp.253-259
• /
• 2018

A new barley (Hordeum vulgare L.) cultivar 'Mihan' having ruminant-palatable semi-smooth awn and good silage quality was developed at National Institute of Crop Science(NICS), RDA in 2016. This cultivar was derived from a cross of the 'SB00T2064' and 'Suwon385' in 2001. And its promising line showed high yielding through the preliminary yield trials(PYT) and advanced yield trials (AYT) in Iksan from 2012 to 2013. It was designated as the 'Iksan487'. 'Iksan487' was conducted to regional yield trials (RYT) in one upland field and five paddy fields around Korea for three years from 2014 to 2016. And it was released as the name of 'Mihan'. It has growth habit of IV, erect plant type, green leaf and semi-smooth awn. Its heading date was April 23 in the paddy field and maturing date was May 24. Plant height of 'Mihan' was 96cm. Mihan's spikes per $m^2$ was 665. It has better winter hardiness and resistance to BaYMV (Barley Yellow Mosaic Virus) than that of barley cultivar 'Youngyang'. The average dry matter of 'Mihan' was about $10.9ton\;ha^{-1}$ in paddy field. And average feed quality of 'Mihan' was 10.3% of crude protein content, 26.1% of ADF (Acid Detergent Fiber), 46.9 % of NDF (Neutral Detergent Fiber) and 68.2% of TDN (Total Digestible Nutrients). 'Mihan' had grade I of silage quality. This cultivar would be suitable for the area above the daily minimum average temperature of $-8^{\circ}C$ in January in Korean peninsula.

• Sleep Medicine and Psychophysiology
• /
• v.25 no.2
• /
• pp.51-57
• /
• 2018

Objectives: Previous studies have shown that periodic limb movements in sleep (PLMS) could be one of risk factors for cardiovascular morbidity. The purpose of this study was to investigate the association between PLMS and blood pressure changes during sleep. Methods: We analyzed data from 358 adults (176 men and 182 women) aged 18 years and older who were free from sleep apnea syndrome (Respiratory Disturbance Index < 5) and sleep disorders such as REM sleep behavior disorder or narcolepsy. Demographic characteristics, polysomnography records, and clinical variable data including blood pressure, body mass index, alcohol, smoking, and current medications were collected. In addition, self-report questionnaires including the Beck Depression Index, Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index were completed. Blood pressure change from bedtime to awakening was compared between the two periodic limb movement index (PLMI) groups [low PLMI ($PLMI{\leq}15$) and high PLMI (PLMI > 15)]. Blood pressure change patterns were compared using repeated measures analysis of variance. Results: Systolic blood pressure in the high PLMI group was lower than that in the low PLMI group (p = 0.036). These results were also significant when adjusted for gender and age, but were not statistically significant when adjusted for BMI, alcohol, smoking, anti-hypertension medication use and sleep efficiency (p = 0.098). Systolic blood pressure dropped by 9.7 mm Hg in the low PLMI group, and systolic blood pressure in the high PLMI group dropped by 2.9 mm Hg. There was a significant difference in delta systolic blood pressure after sleep between the two groups in women when adjusted for age, BMI, alcohol, smoking, antihypertensive medication use and sleep efficiency (p = 0.023). Conclusion: PLMS was significantly associated with a decreasing pattern in nocturnal BP during sleep, and this association remained significant in women when adjusted for age, BMI, alcohol, smoking, antihypertension medication use and sleep efficiency related to blood pressure. We suggest that PLMS may be associated with cardiovascular morbidity.

• The Journal of Korean Society for Radiation Therapy
• /
• v.31 no.1
• /
• pp.17-24
• /
• 2019

Purpose: The present study aims to assess the level of coherency and the accuracy of Point dose of the Isocenter of VERO, a linear accelerator developed for the purpose of the Stereotactic Body Radiation Therapy(SBRT). Materials and Method: The study was conducted randomly with 10 treatment plans among SBRT patients in Kyungpook National University Chilgok Hospital, using VERO, a linear accelerator between June and December, 2018. In order to assess the equipment's power stability level, we measured the output constancy by using PTW-LinaCheck, an output detector. We also attempted to measure the level of accuracy of the equipment's Laser, kV(Kilo Voltage) imaging System, and MV(Mega Voltage) Beam by using Tofu Phantom(BrainLab, Germany) to assess the accuracy level of geometrical Isocenter. We conducted a comparative analysis to assess the accuracy level of the dose by using an acrylic Phantom($30{\times}30{\times}20cm$), a calibrated ion chamber CC-01(IBA Dosimetry), and an Electrometer(IBA, Dosimetry). Results: The output uniformity of VERO was calculated to be 0.66 %. As for geometrical Isocenter accuracy, we analyzed the error values of ball Isocenter of inner Phantom, and the results showed a maximum of 0.4 mm, a minimum of 0.0 mm, and an average of 0.28 mm on X-axis, and a maximum of -0.4 mm, a minimum of 0.0 mm, and an average of -0.24 mm on Y-axis. A comparison and evaluation of the treatment plan dose with the actual measured dose resulted in a maximum of 0.97 % and a minimum of 0.08 %. Conclusion: The equipment's average output dose was calculated to be 0.66 %, meeting the ${\pm}3%$ tolerance, which was considered as a much uniform fashion. As for the accuracy assessment of the geometric Isocenter, the results met the recommended criteria of ${\pm}1mm$ tolerance, affirming a high level of reproducibility of the patient's posture. The difference between the treatment plan dose and the actual measurement dose was calculated to be 0.52 % on average, significantly less than the 3 % tolerance, confirming that it obtained predicted does. The current study suggested that VERO equipment is suitable for SBRT, and would result in notable therapeutic effect.

• Korean Journal of Heritage: History & Science
• /
• v.46 no.3
• /
• pp.94-113
• /
• 2013

Donggwanwangmyo[East Shrine of King Guan Yu] is the shrine for General Guan Yu from the Shu Dynasty, China. This type of shrine was begun to be built from the Tang Dynasty in China and from 1598 in Korea when the Japanese invaded Korea for the $2^{nd}$ time. Donggwanwangmyo is historically significant because it was jointly constructed by China and Korea in the spring of 1602 after the end of Japanese invasion of Korea. However, almost no research has been conducted about the sculptures standing at Donggwanwangmyo and there are many mistakes concerning the names and materials of these sculptures. This study is conducted to resolve these issues as follows: First of all, it was found that the main building of Donggwanwangmyo enshrines those which were moved from the North Shrine of Guan Yu and the West Shrine of Guan Yu during the Japanese colonial rule of Korea in addition to what was initially placed in Donggwanwangmyo during construction. These relics are assorted and each line of them is displayed in the center and to the east or west of the building. Among the relics, seven sculptures are standing at the center of the main building, among which one sculpture of Guan Yu is made of gold and two sculptures of maids and four sculptures of guards are made of clay. It is particularly noted that the sculptures of Guan Yu and his guards, Guan Ping, Zhou Cang, Wang Fu, and Zhao Lei, represent the portraits of historical characters that actually existed. Moreover, the sculptures of guards are characterized by the fact that they are unlike those in China, but have two pairs of literary men and warriors that stand facing each other as is the case in the royal mausoleums constructed during the Joseon Dynasty. Second of all, the sculptures from Donggwanwangmyo were carved in 1602, but their costumes and equipment were derived from the paintings from the Tang and Song Dynasties. Some decorations from the Ming Dynasty are also reflected in the sculptures. It implies that Donggwanwangmyo was partially modeled after the Shrine of Emperor Guan Yu[Gwanjemyo] in Jiezhou which was rebuilt in 1593 by Emperor Sinjong of the Ming Dynasty and that the secular and dramatic patterns of the Qing Dynasty are prevalent in the said sculptures based on the patterns of the Ming Dynasty because all the sculptures at the Shrine in Jiezhou were constructed when the Qing Dynasty ruled between the $18^{th}$ and the $19^{th}$ Centuries. In conclusion, it was found that sculptures from Donggwanwangmyo were created in 1602, that they follow the ancient traditions attested by the paintings of Korean and Chinese sculptures, and that they are very valuable in art history since they retain the original forms of the Shrine of Guan Yu built during the Joseon and Ming Dynasties.

• Journal of Korean Foot and Ankle Society
• /
• v.23 no.1
• /
• pp.24-30
• /
• 2019

Purpose: To evaluate the efficiency of the electronic foot function index (eFFI) through a prospective, random based, multi-institutional study. Materials and Methods: The study included 227 patients ranging in age from 20 to 79 years, visited for surgery in different 15 institutes, and agreed to volunteer. The patients were assigned randomly into a paper-based evaluated group (n=113) and tablet-based evaluated group (n=114). The evaluation was done on the day of hospital admission and the method was changed on the second day of surgery and re-evaluated. PADAS 2.0 (https://www.proscore.kr) was used as an electronic evaluation program. Results: There were no differences in age and sex in both groups. The intraclass correlation coefficient (ICC) evaluation revealed an eFFI ICC of 0.924, showing that both results were similar. The evaluation time was shorter in the tablet-based group than the paper-based group (paper vs tablet, $3.7{\pm}3.8$ vs $2.3{\pm}1.3minutes$). Thirty-nine patients (17.2%) preferred to use paper and 131 patients (57.7%) preferred the tablet. Fifty-seven patients (25.1%) found both ways to be acceptable. Conclusion: eFFI through tablet devices appears to be more constant than the paper-based program. In addition, it required a shorter amount of time and the patients tended to prefer the tablet-based program. Overall, tablet and cloud system can be beneficial to a clinical study.

• Journal of Intelligence and Information Systems
• /
• v.25 no.3
• /
• pp.1-17
• /
• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

• Research in Plant Disease
• /
• v.25 no.3
• /
• pp.108-113
• /
• 2019

Almost 30% of arable lands of North Korea are covered with paddy rice. In rice cultivation of North Korea, rice blast disease is the most important fungal disease and bacterial leaf blight is the most important bacterial disease. Seven North Korean rice cultivars had been tested for the disease resistance against rice blast pathogen, Magnaporthe oryzae and bacterial leaf blight pathogen, Xanthomonas oryzae pv. oryzae. The responses of seven cultivars against 17 different M. oryzae races from South Korea had been quite different. Among seven cultivars, Giljoo1ho was very resistant to all 18 different M. oryzae isolates from South Korea, nevertheless KI or KJ. Pyungdo5ho was very susceptible, it showed susceptible responses to 8 out of 10 KI races and 7 out of 8 KJ races of M. oryzae isolated in South Korea. However, the response to bacterial leaf blight was different from the response to rice blast pathogen. Gijoo1ho, Wonsan69ho, Onpo1ho, and Pyungdo15ho were susceptible to KXO42 (K1) and KXO90 (K2), respectively. Pyungdo5ho was resistant to KXO85 (K1) and KXO19 (K3), and Pyungyang21ho was resistant to K1 races. Based on these results, Giljoo1ho can be a good resource for the breeding of resistant rice cultivar against M. oryzae isolates from South Korea.

• Anxiety and mood
• /
• v.15 no.2
• /
• pp.61-67
• /
• 2019

Objective : This study aimed to investigate the general process from the symptom onset to the psychiatric treatment in Korean panic patients and the effect of improved public awareness on it. Methods : This study has a retrospective design. The subjects were the new patients with panic disorder who visited the psychiatric outpatient clinic in twelve university-affiliated hospitals all across Korea. The medical chart was reviewed retrospectively and the data were collected including chief complaints of symptoms, recent stressors, the time to visit the psychiatric outpatient clinic, and visit of other departments and diagnostic approaches for their symptoms. Results : A total of 814 participants were included in the study. The most common department other than psychiatry the panic patients visited were cardiology (28.3%), general internal medicine (16.0%) and neurology (11.4%). The most frequently used diagnostic tests were a echocardiography (17.9%), 24-hour Holter monitoring (11.2%), and brain MRI (8.2%). Only 37.3% of participants visited psychiatric clinic directly. About 80% of participants visited psychiatric department within 1 year after their first panic symptoms and it took $13.8{\pm}13.7weeks$ on average. Comparing before and after 2012, the number of participants increased who visit directly the psychiatric clinic without visiting other departments (p=0.002) and without visiting emergency room (p<0.001). Conclusions : Our results suggest that a substantial number of patients visit departments other than psychiatry when they experience first panic symptoms. However, most patients begin psychiatric treatment within 1 year after their first symptoms and the number of patient are increasing who visit psychiatric department directly without visiting other departments.

• Korean Journal of Remote Sensing
• /
• v.35 no.3
• /
• pp.457-470
• /
• 2019

Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR) has been attracted attention in the fields of surveillance, reconnaissance, and national security due to its advantage of all-weather and day-and-night imaging capabilities. However, there have been some difficulties in automatically identifying targets in real situation due to various observational and environmental conditions. In this paper, ATR problems in Extended Operating Conditions (EOC) were investigated. In particular, we considered partial occlusions of the target (10% to 50%) and differences in the depression angle between training ($17^{\circ}$) and test data ($30^{\circ}$ and $45^{\circ}$). To simulate various occlusion conditions, SARBake algorithm was applied to Moving and Stationary Target Acquisition and Recognition (MSTAR) images. The ATR accuracies were evaluated by using the template matching and Adaboost algorithms. Experimental results on the depression angle showed that the target identification rate of the two algorithms decreased by more than 30% from the depression angle of $45^{\circ}$ to $30^{\circ}$. The accuracy of template matching was about 75.88% while Adaboost showed better results with an accuracy of about 86.80%. In the case of partial occlusion, the accuracy of template matching decreased significantly even in the slight occlusion (from 95.77% under no occlusion to 52.69% under 10% occlusion). The Adaboost algorithm showed better performance with an accuracy of 85.16% in no occlusion condition and 68.48% in 10% occlusion condition. Even in the 50% occlusion condition, the Adaboost provided an accuracy of 52.48%, which was much higher than the template matching (less than 30% under 50% occlusion).