• Applied Microscopy
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• v.38 no.3
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• pp.151-157
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• 2008

Trigeminal primary afferents expressing $P2X_3$ or transient receptor potential vanilloid 1 (TRPV1) are involved in the transmission of nociceptive information. In order to characterize $P2X_3$- and TRPV1-immunopositive neurons in the trigeminal ganglion (TG) and trigeminal caudal nucleus (Vc), we performed immunofluorescence experiments using anti-$P2X_3$ and anti-TRPV1 antisera and a morphometric analysis. 77.4% (1,401/1.801) of all the $P2X_3$-postive neurons coexpressed TRPV1 and 51.9% (1,401/2,698) of all the THFV1-immunopositive neurons also costained for $P2X_3$ in the TG. Immunoreactivity for both $P2X_3$ and TRPV1 were present in medium-sized neurons but not in small- and large-sized neurons. $P2X_3$ and/or TRPV1-immunopositive fibers were observed in the primary afferents and their associated axons in the Vc. These fibers and terminals were distributed in the superficial lamina of Vc: $P2X_3$-immunopositive fibers and terminals were distributed in the lamina I and II, expecially in the inner part of lamina II (lamina IIi), whereas TRPV1-immunopositive ones were densely detected in the lamina I and outer part of lamina II (lamina IIo). Immunopositive fibers and terminals for both $P2X_3$ and TRPV1 were observed on the border between lamina IIi and IIo. These results suggest that terminals coexpressing $P2X_3$ and TRPV1 are involved in specific roles in the transmission and processing of orofacial nociceptive information.

• Korean Journal of Remote Sensing
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• v.36 no.5_3
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• pp.1037-1051
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• 2020

The accurate monitoring and forecasting of the intensity of tropical cyclones (TCs) are able to effectively reduce the overall costs of disaster management. In this study, we proposed a multi-task learning (MTL) based deep learning model for real-time TC intensity estimation and forecasting with the lead time of 6-12 hours following the event, based on the fusion of geostationary satellite images and numerical forecast model output. A total of 142 TCs which developed in the Northwest Pacific from 2011 to 2016 were used in this study. The Communications system, the Ocean and Meteorological Satellite (COMS) Meteorological Imager (MI) data were used to extract the images of typhoons, and the Climate Forecast System version 2 (CFSv2) provided by the National Center of Environmental Prediction (NCEP) was employed to extract air and ocean forecasting data. This study suggested two schemes with different input variables to the MTL models. Scheme 1 used only satellite-based input data while scheme 2 used both satellite images and numerical forecast modeling. As a result of real-time TC intensity estimation, Both schemes exhibited similar performance. For TC intensity forecasting with the lead time of 6 and 12 hours, scheme 2 improved the performance by 13% and 16%, respectively, in terms of the root mean squared error (RMSE) when compared to scheme 1. Relative root mean squared errors(rRMSE) for most intensity levels were lessthan 30%. The lower mean absolute error (MAE) and RMSE were found for the lower intensity levels of TCs. In the test results of the typhoon HALONG in 2014, scheme 1 tended to overestimate the intensity by about 20 kts at the early development stage. Scheme 2 slightly reduced the error, resulting in an overestimation by about 5 kts. The MTL models reduced the computational cost about 300% when compared to the single-tasking model, which suggested the feasibility of the rapid production of TC intensity forecasts.

• Korean Journal of Agricultural and Forest Meteorology
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• v.13 no.4
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• pp.176-184
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• 2011

Cold air on sloping surfaces flows down to the valley bottom in mountainous terrain at calm and clear nights. Based on the assumption that the cold air flow may be the same as the water flow, current models estimate temperature drop by regarding the cold air accumulation at a given location as the water-like free drainage. At a closed catchment whose outlet is blocked by man-made obstacles such as banks and roads, however, the water-like free drainage assumption is no longer valid because the cold air accumulates from the bottom first. We developed an empirical model to estimate quantitatively the effect of cold pool on nocturnal temperature in a closed catchment. In our model, a closed catchment is treated like a "vessel", and a digital elevation model (DEM) was used to calculate the maximum capacity of the cold pool formed in a closed catchment. We introduce a topographical variable named "shape factor", which is the ratio of the cold air accumulation potential across the whole catchment area to the maximum capacity of the cold pool to describe the relative size of temperature drop at a wider range of catchment shapes. The shape factor is then used to simulate the density profile of cold pool formed in a given catchment based on a hypsometric equation. The cold lake module was incorporated with the existing model (i.e., Chung et al., 2006), generating a new model and predicting distribution of minimum temperature over closed catchments. We applied this model to Akyang valley (i.e., a typical closed catchment of 53 $km^2$ area) in the southern skirt of Mt. Jiri National Park where 12 automated weather stations (AWS) are operational. The performance of the model was evaluated based on the feasibility of delineating the temperature pattern accurately at cold pool forming at night. Overall, the model's ability of simulating the spatial pattern of lower temperature were improved especially at the valley bottom, showing a similar pattern of the estimated temperature with that of thermal images obtained across the valley at dawn (0520 to 0600 local standard time) of 17 May 2011. Error in temperature estimation, calculated with the root mean square error using the 10 low-lying AWSs, was substantially decreased from $1.30^{\circ}C$ with the existing model to $0.71^{\circ}C$ with the new model. These results suggest the feasibility of the new method in predicting the site-specific freeze and frost warning at a closed catchment.

• Korean journal of food and cookery science
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• v.18 no.2
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• pp.216-224
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• 2002

Persimmon powder (PW), which was prepared by pulverizing freeze-dried persimmon with peels, was added to Maejakgwa up to 25% of wheat flour. Maejakgwa samples were prepared by the central composit experimental design for three independent variables: amount of PW, frying time, and frying temperature. The color of Maejakgwa was influenced more by the frying time and temperature than the content of added PW. Crispiness and adhesiveness were highly correlated with overall preference. Although the amount of PW affected the adhesiveness, the adhesiveness could be controlled by the frying temperature and time. Frying temperature was the most effective factor on the crispness and hardness. The addition of high amount of PW obviously increased the sweetness and aftertaste. However, at the low amount of PW, frying for longer time at high temperature also increased the sweetness and aftertaste. Center sample (15% PW, frying for 4 min at 145$\^{C}$) showed the best score at the overall preference. Overall preference was improved as the sample was fried at high temperature/short time or at low temperature/long time. Maejakwa prepared with high amount of PW at 20% showed no significant difference with the center sample for overall preference as prepared by frying for 3 min at 155$\^{C}$. The optimum condition obtained by superimposing color, crispiness and overall preference was frying for 5∼6 min at 131∼140$\^{C}$.

• Tuberculosis and Respiratory Diseases
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• v.53 no.3
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• pp.309-318
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• 2002

Background : Usual interstitial pneumonia (UIP) is a fatal progressive fibrotic disorder of the lung with unknown etiology and characterized by a poor response to conventional immunosuppressive therapy. The histologic hallmark of UIP is parchy distribution of subpleural fibrosis and fibroblastic foci(FBF) with interposed normal appearing lung. Because FBF is a collection of actively proliferating myofibroblasts, it can be a marker of activity and prognosis of UIP. However, there were contradictory reports about the correlation between the degree of FBF and survival. Therefore we performed this study to investigate the value of FBF as prognostic marker of UIP. Methods : This was a retrospective study on the 46 patients(M:F=33:13, mean age:$59{\pm}12$ years) with UIP diagnosed by the surgical lung biopsy at the Asan Medical Center, Seoul, Korea between 1990 and 2000 and had follow-up of more than a year. All the biopsy specimens were reevaluated and diagnosed as UIP according to the ATS/ERS classification. Semiquantitative grading of FBF(absent, 0; mild 1; moderate 2; marked 3) by the experienced pathologists who did not know the clinical findings were compared to the clinical data and the follow up course. Results : Thirteen patients(28.2%) died of UIP progression during the study period. The median survival time of all the subjects was 26 months after the biopsy. At the univariate analysis, FVC, $D_Lco$, smoking history and the grade of FBF were significantly related to the survial. The survival was longer in subjects with lesser degrees of FBF, higher DLco, higher FVC and history of smoking. However the multivariate analysis with Cox regression test showed the extent of FBF was the only independent prognostic marker of UIP. Conclusion : These data suggested that the extent of FBF on the surgical lung biopsy can be used as a prognostic marker of UIP.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.2
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• pp.142-154
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• 2012

This study aimed at learning the characteristics of place identity of the Buan county hall garden and Sangsosan(上蘇山) by looking over the pattern and content of letter-engraved rocks and nearby facilities and history. Especially, we focused on the meaning and contents of the letters in Sangsosan and a Government Office of Buan engraved on rocks in order to learn what the place means. The results of our study are as follows. Buan-hyun(扶安縣) in the Joseon dynasty period blossomed literary culture of enjoying poetry and melody, and this was faithful realization of the concept of "Rakto(樂土)" of 'Saengubuan(生居扶安).' The grand scale letters written by Si-SooPark(朴蓍壽: 1767~1876), head of the office in the early 19th century, in the cursive style on the basis stone of the garden of Buan county building, which was the site of the office of Buan-hyun in the Joseon dynasty period, such as 'Bongraedongcheon(蓬萊洞天)', 'Jurim(珠林)', and 'Okcheon(玉泉)' mean that "'Bongrae', the another name of Buan', is a place where Taoist hermits would live because the spring water of Seorim flows down to be Okcheon.", showing his pride of living Buan. The regions like Seorimjeong, Geumdae(琴臺), and Hyecheon(惠泉) where letters engraved on rocks are located intensively are closely related with those who communicated with Mae-ChangLee(李梅窓: 1573~1610), the slave of the government, and are local attractions and garden traces where the literary culture and scholar's spirit of Buan are well-harmonized. Most of the letters were written from the 19th century to the early 20th century, showing that 4 for landscapes, 8 for Kyungseck(景色: imaginary scenry), 5 for figures, 15 for poems and 2 for others. The ratio of poems is much higher than that of poems in other regions' letters on rocks, and the keyword of the letters is Haecheon. A piece of the place identity heavily influenced by the Taois thermit ideology is revealed by the expressions of 'Bongraedongcheon', 'Sosansaho(蘇山四皓)' or 'the spring water of Haecheon' that was considered as an elixir of Taoist hermits. Seorim the forest, which had been managed after Yeon-Myeong Cho(趙然明: 1797~?), head of the office, planted trees in the 11th year of the reign of King Heonjong(1845), Seorimjeong in the forest, and rocks with engraved letters on them are proof of literary culture and the garden traces showing the characteristics and aspect of Imcheon(林泉) Garden of the office heavily influenced by the Taoist hermit ideology. Along with Naebyeon-san national park and Kyeokpo region, the center of Buan tourism, we hope that cultural heritages including rocks with engraved letters over Seorim park would become a representative cultural heritage and attraction of Buan.

• Journal of the Korean Society of Food Science and Nutrition
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• v.40 no.9
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• pp.1256-1264
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• 2011

Infant formula is one of the main nutritional sources for infants. In this study, the fatty acid compositions of Korean (domestic, n=8) and foreign infant formulas (n=3) were analyzed. Crude fats were extracted using the Folch method, and fatty acid compositions (total and positional) were analyzed by gas chromatography. In the fatty acid compositions of infant formulas, oleic (19.88~44.64%), palmitic (7.59~21.65%) and linoleic acids (16.72~25.87%) were the major fatty acids. Domestic infant formula products contained 35.94~56.55% total saturated fatty acid content, whereas that of foreign infant formula ranged from 34.40~42.88%. The content of monounsaturated fatty acids ranged from 20.23~44.99% in domestic products and 34.11~45.07% in foreign products. In addition, 0.17~2.57% arachidonic acid/docosahexaenoic acid and 10~13% linoleic acid/linolenic acid were detected in the analyzed products (domestic and foreign products). A small amount of trans fatty acids (0.25~1.69%) were found. In sn-2 position analysis, palmitic acids (1.84~38.74%) were detected in the analyzed formulas. Further, typical triacylglycerols in human milk, including 1,3-di-monounsaturated-2-saturated triacylglycerol, were not detected in the analyzed formulas.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.213-225
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• 2010

Data mining has empowered the managers who are charge of the tasks in their company to present personalized and differentiated marketing programs to their customers with the rapid growth of information technology. Most studies on customer' response have focused on predicting whether they would respond or not for their marketing promotion as marketing managers have been eager to identify who would respond to their marketing promotion. So many studies utilizing data mining have tried to resolve the binary decision problems such as bankruptcy prediction, network intrusion detection, and fraud detection in credit card usages. The prediction of customer's response has been studied with similar methods mentioned above because the prediction of customer's response is a kind of dichotomous decision problem. In addition, a number of competitive data mining techniques such as neural networks, SVM(support vector machine), decision trees, logit, and genetic algorithms have been applied to the prediction of customer's response for marketing promotion. The marketing managers also have tried to classify their customers with quantitative measures such as recency, frequency, and monetary acquired from their transaction database. The measures mean that their customers came to purchase in recent or old days, how frequent in a period, and how much they spent once. Using segmented customers we proposed an approach that could enable to differentiate customers in the same rating among the segmented customers. Our approach employed support vector regression to forecast the purchase amount of customers for each customer rating. Our study used the sample that included 41,924 customers extracted from DMEF04 Data Set, who purchased at least once in the last two years. We classified customers from first rating to fifth rating based on the purchase amount after giving a marketing promotion. Here, we divided customers into first rating who has a large amount of purchase and fifth rating who are non-respondents for the promotion. Our proposed model forecasted the purchase amount of the customers in the same rating and the marketing managers could make a differentiated and personalized marketing program for each customer even though they were belong to the same rating. In addition, we proposed more efficient learning method by separating the learning samples. We employed two learning methods to compare the performance of proposed learning method with general learning method for SVRs. LMW (Learning Method using Whole data for purchasing customers) is a general learning method for forecasting the purchase amount of customers. And we proposed a method, LMS (Learning Method using Separated data for classification purchasing customers), that makes four different SVR models for each class of customers. To evaluate the performance of models, we calculated MAE (Mean Absolute Error) and MAPE (Mean Absolute Percent Error) for each model to predict the purchase amount of customers. In LMW, the overall performance was 0.670 MAPE and the best performance showed 0.327 MAPE. Generally, the performances of the proposed LMS model were analyzed as more superior compared to the performance of the LMW model. In LMS, we found that the best performance was 0.275 MAPE. The performance of LMS was higher than LMW in each class of customers. After comparing the performance of our proposed method LMS to LMW, our proposed model had more significant performance for forecasting the purchase amount of customers in each class. In addition, our approach will be useful for marketing managers when they need to customers for their promotion. Even if customers were belonging to same class, marketing managers could offer customers a differentiated and personalized marketing promotion.

• Journal of Hospice and Palliative Care
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• v.4 no.1
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• pp.47-56
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• 2001

Purpose : Surveying the effects on drop the anxiety of the hospice patients in spiritual nursing intervention with a quasi-experimental design using non-equivalent contrast group non-synchronized design to try in order to give the support which provide a holistic and individualizational nursing to comfort of hospice patients. Method : The results of survey were collected from 67 patients(67 subjects comprised 37 hospice patients of the experimental group and 30s of contrast) who were given hospice care from July to September of 2000 at the General Hospital in Cheon Ju city. The tool was used Spielberger's State Anxiety Scale, and the difference in the level of dropping anxiety among patient groups was analyzed with the mean, standard deviation, $x^2-test$. t-test and paired t-test. The spiritual nursing intervention was carried out through Hymn, Scripture, prayer, the therapeutic use of self over a period of three weeks. Results : 1) In general characters, men were a many more of the objects and the average age of the experimental and contrast group was 59.6, 55.9 respectively. The family of living together was $2{\sim}3$ members of most part. 2) There were not significant differences in the general, disease and therapeutic, religional characters between the experimental and contrast group. 3) The majority of the objects were cancer patients in disease and therapeutic characters(Experimental : 92%, Contrast : 95%). 4) After the spiritual nursing intervention state anxiety of the experimental group were remarkably lower than those of the contrast (t=-5.987, P=0.000). 5) Decreasing rate in the anxiety scores of before and post facto of the experimental group were remarkably lower than those of the contrast (t=6.237, P=0.000). Conclusion : The hospice patients who were offered spiritual nursing intervention became much lower than those who were not offered it in anxiety. Spiritual nursing intervention can be suited to field with one program of an effective that that relieved their anxieties. It is not only a very short time but has quite a little findings in part of spiritual nursing intervention. Therefore, further study in this field is necessary to concrete and substantial investigate in order to more and more increasing hospice patients in 21st century.

• Journal of Hospice and Palliative Care
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• v.6 no.1
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• pp.34-44
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• 2003

Purpose : The purpose of this study was to elucidate the effects of hospice care on pain management of the terminal cancer patients. Method : The subjects of the study were 37 terminal cancer patients hospitalized in the general hospital in JeonJu with the hospice care nit. The data were collected using the questionaire with interviews from July to Nov. in 2000. The severity and interference of pain were examined with the self reported survey based on the Korean version of Brief Pain Inventory (BPI-K). The data were analyzed with the mean, SDs, paired t-test. The hospice care to provide for three weeks. Results : 1) The mean scores of the worst pain for the last 24-hours measured with the pain severity of BPI-K were pre-intervention (6.35) and post (4.76). The pain interference of BPI-K in pre-intervention was enjoy (8.22), work (7.46), walk (7.08) and activity (7.08), while post was of enjoy (6.62), work (6.43), walk (6.11) and activity (5.78), respectively. 2) In pain severity, significant difference was found between the pre-intervention and post in all of followings. - worst pain for last 24 hours (t=4.085, P=.000) - least pain for last 24 hours (t=4.020, P=.000) - average pain for last 24 hours (t=4.254, P=.000) - pain right now (t=4.017, P=.000) 3) In pain interference, significant difference was found between the pre- intervention and the post in all of followings. - activity (t=3.137, P=.003) - mood (t=6.713, P=.000) - walk (t=2.027, P=.050) - work (t=2.132, P=.040) - relate (t=4.143, P=.000) - sleep (t=4.071, P=.000) - enjoy (t=3.881, P=.000) Conclusion : The terminal cancer patients who were offered hospice care had significantly lower hospice care pain and pain interference than those without hospice care. According to these results, hospice care can be regarded as an effective modality in relief of pain in the terminal ill-patients.