• Journal of Acupuncture Research
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• v.28 no.2
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• pp.75-87
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• 2011

Objectives : The purpose of this study is research on facial palsy sequelae and evaluating scale that have studied insufficiently until now. Methods : We researched on the symptoms, epidemiology and evaluating scale of facial palsy sequelae. For this, we searched the research papers on facial palsy sequelae and the clinical papers that find out the effect of treatment by evaluating facial palsy sequelae. Results : The symptoms of facial palsy sequelae are synkinesis, contracture, spasm, crocodile tears syndrome, tearing decrease, gustation impairment, hearing impairment, tinnitus, hyperacusis, etc. Among these, synkinesis, contracture, spasm and crocodile tears syndrome are the most frequently observed broadly. The poor prognosis factor of facial palsy can be the risk factor of facial palsy sequelae. For example, severe degeneration of facial nerve can be the risk factor of facial palsy sequelae. Most of clinical papers on facial palsy sequelae have used NRS(numeric rating scale) as evaluating scale. But NRS is very subjective scale. The scales of Stennert, Peitersen, Murata et al. can evaluate facial palsy sequelae grossly. Sunnybrook scale, Sydney scale, SAQ(synkinesis assessment questionnaire), the scale of Kim, the scale of Scott, HFS-7(hemi facial spasm), HFS-36 and Schirmer's test can evaluate the respective symptoms of facial palsy sequelae. Conclusions : The symptoms of facial palsy sequelae are synkinesis, contracture, spasm, crocodile tears syndrome, etc. Most of clinical papers on facial palsy sequelae have used NRS as evaluating scale. There were some scales that can evaluate facial palsy sequelae grossly and respectively. In future, we will need more progressed study of facial palsy sequelae and evaluating scale.

• Fire Science and Engineering
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• v.22 no.1
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• pp.45-53
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• 2008

The effect of thinned trees which are produced from forest thinning on forest fire was studied in this work. To investigate the effect of thinning slash, Yang-yang, In-je, and Ga-pyeong-gun were selected as thinning-areas and non-thinning areas. The research was carried out with the variations of tree's types, area's characteristics, thinning strength, thinning types, and pile types of thinned tree. The survey areas of 14 areas were selected at Yangyang-gun(5 areas), Gapyeong-gun(4 areas), and Inje-gun(5 areas), and on-the-spot investigations were carried out at the thinning areas of 9 and the non-thinning areas of 5, respectively. Non-thinning areas of 5, which are adjacent to thinning areas, were selected for the comparison with thinning areas and for the analysis of risk of forest fire. It is considered that forest fire have no chance to diffuse to a tree trunk because the height of thinned trees was lower than 1 m. However, it is considered that forest fire may affect directly to a tree trunk if it spread to piled thinned tree because there was no space between thinned trees and trees. Furthermore, it was found that re-ignition had a chance to occur due to lots of piled thinning trees.

• Korean Journal of Community Nutrition
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• v.3 no.5
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• pp.695-706
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• 1998

This study was designed to investigate the associations of the percent body fat dietary intake, plasma lipoprotein profile, lipoprotein(a), and plasminogen activator inhibitor-1(PAI-1) concentrations of 1982 Korean subjects(men : 1000 and women : 982) between the ages of 40 and 59 years. The dietary assessment consisted of twenty-four hour dietary records and food frequency questionnaires. The subjects were identified into one of the five rating groups of % body fat : lean, underweight, normal, overweight and obese groups. The biochemical assessment included measurements of plasma total cholesterol(TC), HDL-cholesterol(HDL-C), LDL-cholesterol(LDL-C), triglyceride(TG), lipoprotein(a)(Lp(a)), and PAI-1. With respect to the ratio of percent energy intake of carbohydrate : protein : fat of the normal group of the women was 62% : 17% : 20%, respectively. Women apparently had a higher intake of carbohydrates than men(52% : 17 : 20%) did. There was a linear relationship between energy intake and % body fat in both mean and women(with the exception of the underweight group of women). The relationship of % body fat of men to the protein and fat intake was higher than that of the carbohydrate intake. Of the men in the study, intakes of energy, protein and alcohol were positively correlated to % body fat. In women, energy, carbohydrate and protein intake were positively correlated to % body fat, however, the fat, cholesterol and alcohol intake did not show any correlation to the % body fat in women. This study showed that % body fat was positively correlated with plasma TC, LDL-C, PAI-1 levels, and TG, but the % body fat was negatively correlated with plasma HDL-C level in both men and women. These results indicated that the high energy intake of obese or overweight subjects might contribute to several of the biochemical indices fo coronary heart disease(CHD) risk. In conclusion, increased energy intake is associated with overweight or obesity in middle aged Korean people. There was no relationship between % energy intake of fat and % body fat in the study, in middle-aged Korean men and women. The plasma lipid profile and PAI-1 level thought to be the risk factors of CHD were positively associated with percent body fat in middle aged Korean people.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.549-557
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• 2013

An flood inundation map is able to convey spatial distribution of inundation to a decision maker for flood risk management. A roughness coefficient with unclear values and a discharge obtained from the stage-discharge rating equation are key sources of uncertainty in flood inundation mapping by using a hydraulic model. Also, the uncertainty analysis needs an observation for the flood inundation, and satellite images is useful to obtain spatial distribution of flood. Accordingly, the objective of this study is to quantify uncertainty arising roughness and discharge in flood inundation mapping by using a hydraulic model and a satellite image. To perform this, flood inundations were simulated by HEC-RAS and terrain analysis, and ISODATA (Iterative Self-Organizing Data Analysis) was used to classify waterbody from Landsat 5TM imagery. The classified waterbody was used as an observation to calculate F-statistic (likelihood measure) in GLUE (Generalized Likelihood Uncertainty Estimation). The results from GLUE show that flood inundation areas are 74.59 $km^2$ for lower 5 % uncertainty bound and 151.95 $km^2$ for upper 95% uncertainty bound, respectively. The quantification of uncertainty in flood inundation mapping will play a significant role in realizing the efficient flood risk management.

• Journal of Hospice and Palliative Care
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• v.21 no.4
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• pp.158-162
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• 2018

Breast cancer related lymphedema (BCRL) is one of the most intractable complications after surgery. Patients suffer from physical impairment, as well as psychological depression. Moreover, a recent study revealed that cellulitis significantly increased the risk of BCRL, and cellulitis has been suggested as a risk factor of BCRL development. We describe a patient treated with stellate ganglion blocks (SGBs) without steroid for relief of symptoms and reduction of the arm circumference of breast cancer-related infectious lymphedema in a month. We measured the arm circumference at four locations; 10 cm and 5 cm above and below the elbow crease, numeric rating scale (NRS) score, lymphedema and breast cancer questionnaire (LBCQ) score on every visit to the pain clinic. A serial decrease of the arm circumference and pain score were observed after second injection. In the middle of the process, cellulitis recurred, we performed successive SGBs to treat infectious lymphedema. The patient was satisfied with the relieved pain and swelling, especially with improved shoulder range of motion as it contributes to better quality of life. This case describes the effects of SGB for infectious BCRL patients. SGB could be an alternative or ancillary treatment for infectious BCRL patients.

• The Journal of Engineering Geology
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• v.30 no.4
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• pp.649-661
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• 2020

Cut-slope management system (CSMS) has been investigated all slopes on the road of the whole country to evaluate risk rating of each slope. Based on this evaluation, the decision-making for maintenance can be conducted, and this procedure will be helpful to establish a consistent and efficient policy of safe road. CSMS has updated the database of all slopes annually, and this database is constructed based on a basic and detailed investigation. In the database, there are two type of data: first one is an objective data such as slopes' location, height, width, length, and information about underground and bedrock, etc; second one is subjective data, which is decided by experts based on those objective data, e.g., degree of emergency and risk, maintenance solution, etc. The purpose of this study is identifying an data application plan to utilize those CSMS data. For this purpose, logistic regression, which is a basic machine-learning method to construct a prediction model, is performed to predict a judging-type variable (i.e., subjective data) based on objective data. The constructed logistic model shows the accurate prediction, and this model can be used to judge a priority of slopes for detailed investigation. Also, it is anticipated that the prediction model can filter unusual data by comparing with a prediction value.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.33-49
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• 2018

The impact of TV Drama success on TV Rating and the channel promotion effectiveness is very high. The cultural and business impact has been also demonstrated through the Korean Wave. Therefore, the early prediction of the blockbuster success of TV Drama is very important from the strategic perspective of the media industry. Previous studies have tried to predict the audience ratings and success of drama based on various methods. However, most of the studies have made simple predictions using intuitive methods such as the main actor and time zone. These studies have limitations in predicting. In this study, we propose a model for predicting the popularity of drama by analyzing the customer's viewing pattern based on various theories. This is not only a theoretical contribution but also has a contribution from the practical point of view that can be used in actual broadcasting companies. In this study, we collected data of 280 TV mini-series dramas, broadcasted over the terrestrial channels for 10 years from 2003 to 2012. From the data, we selected the most highly ranked and the least highly ranked 45 TV drama and analyzed the viewing patterns of them by 11-step. The various assumptions and conditions for modeling are based on existing studies, or by the opinions of actual broadcasters and by data mining techniques. Then, we developed a prediction model by measuring the viewing-time distance (difference) using Euclidean and Correlation method, which is termed in our study similarity (the sum of distance). Through the similarity measure, we predicted the success of dramas from the viewer's initial viewing-time pattern distribution using 1~5 episodes. In order to confirm that the model is shaken according to the measurement method, various distance measurement methods were applied and the model was checked for its dryness. And when the model was established, we could make a more predictive model using a grid search. Furthermore, we classified the viewers who had watched TV drama more than 70% of the total airtime as the "passionate viewer" when a new drama is broadcasted. Then we compared the drama's passionate viewer percentage the most highly ranked and the least highly ranked dramas. So that we can determine the possibility of blockbuster TV mini-series. We find that the initial viewing-time pattern is the key factor for the prediction of blockbuster dramas. From our model, block-buster dramas were correctly classified with the 75.47% accuracy with the initial viewing-time pattern analysis. This paper shows high prediction rate while suggesting audience rating method different from existing ones. Currently, broadcasters rely heavily on some famous actors called so-called star systems, so they are in more severe competition than ever due to rising production costs of broadcasting programs, long-term recession, aggressive investment in comprehensive programming channels and large corporations. Everyone is in a financially difficult situation. The basic revenue model of these broadcasters is advertising, and the execution of advertising is based on audience rating as a basic index. In the drama, there is uncertainty in the drama market that it is difficult to forecast the demand due to the nature of the commodity, while the drama market has a high financial contribution in the success of various contents of the broadcasting company. Therefore, to minimize the risk of failure. Thus, by analyzing the distribution of the first-time viewing time, it can be a practical help to establish a response strategy (organization/ marketing/story change, etc.) of the related company. Also, in this paper, we found that the behavior of the audience is crucial to the success of the program. In this paper, we define TV viewing as a measure of how enthusiastically watching TV is watched. We can predict the success of the program successfully by calculating the loyalty of the customer with the hot blood. This way of calculating loyalty can also be used to calculate loyalty to various platforms. It can also be used for marketing programs such as highlights, script previews, making movies, characters, games, and other marketing projects.

• Korean Journal of Psychosomatic Medicine
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• v.7 no.1
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• pp.61-71
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• 1999

Objective : The purpose of this study was to assess the relationship between the premenstrual changes and stress perception in women with premenstrual changes($PMC^+$)(n=32) and those without premenstrual changes($PMC^-$)(n=62) by using prospective method. Method : The women who were older than 30 years of age and healthy were asked to complete a daily rating form based on DSM-IV diagnostic criteria for one menstrual cycle to assess the changes of psychological and physical symptoms across the menstrual cycle. They also completed 5-point likert scale to assess the perception of stress. Percent changes method was used to assess changes between follicular phase and luteal phase. Results : 1) No significant differences were found in demographic factors(age, education, marriage, employment) and risk factors(onset ages of menarche, regularities of premenstrual changes, duration of menstruation, cycle length, amount of menstruation, dysmenorrhea) between women with and without premenstrual changes. 2) There was a significant difference in mean luteal phase stress score between women with($1.92\pm0.63$) and without premenstrual changes($1.51\pm0.42$)(p<0.05). However no difference was found in mean follicular phase stress score between two groups($PMC^+$ : $1.67\pm0.43$, $PMC^-$ : $1.33\pm0.39$). 3) We divided women having premenstrual changes into two groups, higher stress group(stress score > 1.75(median)) and the lower stress group(stress score <1.75(median)). The higher stress group reported more luteal psychological symptoms than did the lower stress group(df=1, F=13.362, p<0.001). However, the groups did not differ in physical symptoms. Conclusion : In women with premenstrual changes, luteal stress score was higher than follicular stress score and this result suggested tha the perception of stress was related to psychological symptoms but not physical symptoms. These findings suggested that premenstrual change is associated with the stress level, and that it is important to manage the stress which is focused on the management of psychological symptom in the treamtment of prementrual syndrome.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.2
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• pp.101-110
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• 2019

Objectives : It is not clear which clinical variables are most closely associated with delirium in the Intensive Care Unit (ICU). By comparing clinical data of ICU delirium and non-delirium patients, we sought to identify variables that most effectively differentiate delirium from non-delirium. Methods : Medical records of 6,386 ICU patients were reviewed. Random Subset Feature Selection and Principal Component Analysis were utilized to select a set of clinical variables with the highest discriminatory capacity. Statistical analyses were employed to determine the separation capacity of two models-one using just the selected few clinical variables and the other using all clinical variables associated with delirium. Results : There was a significant difference between delirium and non-delirium individuals across 32 clinical variables. Richmond Agitation Sedation Scale (RASS), urinary catheterization, vascular catheterization, Hamilton Anxiety Rating Scale (HAM-A), Blood urea nitrogen, and Acute Physiology and Chronic Health Examination II most effectively differentiated delirium from non-delirium. Multivariable logistic regression analysis showed that, with the exception of vascular catheterization, these clinical variables were independent risk factors associated with delirium. Separation capacity of the logistic regression model using just 6 clinical variables was measured with Receiver Operating Characteristic curve, with Area Under the Curve (AUC) of 0.818. Same analyses were performed using all 32 clinical variables;the AUC was 0.881, denoting a very high separation capacity. Conclusions : The six aforementioned variables most effectively separate delirium from non-delirium. This highlights the importance of close monitoring of patients who received invasive medical procedures and were rated with very low RASS and HAM-A scores.

• Korean Chemical Engineering Research
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• v.55 no.5
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• pp.600-608
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• 2017

Hazard risk of explosion on pharmaceutical raw materials dust in pharmaceutical industry often exists when it is handled or processed in the industrial sites, and explosion accident is caused by this. In this study, the dust explosion characteristics of the three pharmaceutical raw materials samples were measured. The main explosion characteristics are as follows: $P_{max}$, MIE and MIT of loxoprofen acid having $5.31^{\circ}C$ of median diameter are obtained 8.4 bar, 1 mJ < MIE < 3 mJ and $550^{\circ}C$. $P_{max}$, MIE and MIT of camphorsulfonate having $95.63^{\circ}C$ of median diameter are obtained 7.9 bar, 30 mJ < MIE < 100 mJ and $510^{\circ}C$. $P_{max}$, MIE and MIT of rifampicine having $26.48^{\circ}C$ of median diameter are obtained 7.9 bar and 1 mJ < MIE < 3 mJ and $470^{\circ}C$. The deflagration index ($K_{st}$) and the explosion index (EI) were obtained by using these data. The explosion hazard assessment of pharmaceutical raw materials dust was compared and examined. As a result, the explosion hazard assessment according to deflagration index and explosion index were the explosion class with St 2 and the explosion hazard rating of severe for loxoprofen acid & rifampicine and St 1 and strong for clopidogrel camphorsulfonate, respectively.