• Journal of Oriental Neuropsychiatry
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• v.18 no.3
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• pp.43-53
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• 2007

The purpose of this research is to investigate the connection between Stress Response Inventory(SRI), Happiness Index(HI), and Qi-training to find out the meaning of Qi-training on anti-stress. Method: The study group was consisted of 35 subjects training Qi and 179 subjects not training. We bad all subjects to reply to demographic questimnaire, SRI questimnaire and HI questimnaire. We made the Qi-training group write the kinds and periods of Qi seperately. Results and Conclussions : 1. The higer Happines Index score, the subjects bad lower Stress Response Iuventory total score. Each details were connected significantly. 2. The Qi-training group's mean SRI total scores and ill scores were higer than the non-training's significantly. 3. In Qi-training group, mean HI scores get higer as training longer.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.22 no.2
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• pp.89-94
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• 2011

Objectives : The purpose of this study was to assess the factor structures related to the Maudsley Obsessive-Compulsive Inventory (MOCI) in middle school students. Methods : A total of 1,175 7th grade students from four middle schools in Paju city completed the MOCI, Center for Epidemiological Studies-Depression scale (CES-D), and Self Esteem Scale (SES). An exploratory factor (maximum likelihood method with oblique rotation) and correlation analyses were subsequently performed. Results : The two main factors related to the MOCI were 'intrusive thought' and 'contamination'. 'Intrusive thought' was positively correlated with the CES-D and negatively associated with the SES. 'Contamination' had a negative correlation with self-esteem as measured by the SES. Conclusion : The results of this study revealed a two-factor structure of obsessive and compulsive symptoms in middle school students.

• Phonetics and Speech Sciences
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• v.4 no.1
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• pp.91-98
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• 2012

The purposes of this paper is to study the characteristics of compared to the speakers voice without depression and speakers with depression, and to propose a objective method for the measurement of the therapeutic effects as well as for diagnostics of depression based on the characteristics. The voice samples obtained from 11 female speakers with depression, aged from 20 to 40, diagnosed as having major depressive disorder by an psychiatrist were compared with those from 12 normal controls with matched sex, age, height, weight, education, smoking, and drinking. The voice samples are taken by a portable digital recorder(TASCAM DR-07, Japan) and analysed using the MDVP(Multi-Dimentional Voice Program) software module from CSL(Computerized Speech Lab, kay elemetrics, co, model 4100). The result of the investigation are as following. First, the average speaking fundamental frequency and loudness range of the speakers with depression group was statistically significantly lower than that of the control group. The pitch range of the control group was rather higher than that of the speakers with depression group, but without statistical significance. Overall speech rates have no statistical difference between two groups. Second, the average speaking fundamental frequency and loudness range have statistically significant negative correlation with Beck Depression Inventory, i. e. more severe depression exhibits lower average speaking fundamental frequency and loudness range. Other vocal parameters such as pitch range and overall speech rate have no statistically meaningful correlations with Beck Depression Inventory.

• Journal of Animal Environmental Science
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• v.20 no.4
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• pp.139-146
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• 2014

This research was conducted to examine the temporal methane ($CH_4$) and nitrous oxide ($N_2O$) emission trends in livestock agriculture from year 1990 to 2011 with Tier 1 national greenhouse gas (GHG) inventory reporting method, which was related to efforts of decreasing GHG emissions and to achievement of voluntary GHG mitigation target. Methane emissions from enteric fermentation were calculated with default $CH_4$ emission factors of IPCC. Methane and $N_2O$ emissions from manure treatment processes were calculated with Tier 1 and mixture of Tier 1 and Tier 2 including $N_2O$ emission factors of manure treatment systems and nitrogen excretion rate of livestock, respectively. According to 2013 National GHG Inventory Monitoring, Reporting, and Verification report, GHG emission fluctuations from enteric fermentation and manure treatment processes were similarto livestock head fluctuation. GHG emissions from enteric fermentation were mainly affected by beef cattle including Hanwoo, while manure treatment processes were affected by various livestock.

• Journal of Dental Anesthesia and Pain Medicine
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• v.17 no.3
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• pp.183-190
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• 2017

Background: It is important to evaluate preoperative anxiety and prepare sedation when performing dental surgery under local anesthesia. Spielberger's State-Trait Anxiety Inventory (STAI) is useful for predicting preoperative anxiety. State anxiety is defined as a subjective feeling of nervousness. Reduction in the number of the state anxiety items (questions) will be clinically important in allowing us to predict anxiety more easily. Method: We analyzed the STAI responses from 1,252 patients who visited our institution to undergo dental surgery under local anesthesia. Multiple linear regression analysis was conducted for 9 groups comprising anxiety level determinations using the STAI; we then developed a coefficient of determination and a regression formula. We searched for a group satisfying the largest number of requirements for regression expression while setting any necessary conditions for accurately predicting anxiety before dental surgery under local anesthesia. Results: The regression expression from the group determined as normal for preoperative state anxiety was deemed the most suitable for predicting preoperative anxiety. Conclusion: It was possible to reduce the number of items in the STAI by focusing on "Preoperative anxiety before dental surgery."

• Journal of Korean Public Health Nursing
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• v.22 no.1
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• pp.84-96
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• 2008

Purpose: To consider how college students' adjustment to college life is related to peer attachment and self-esteem. Method: The subjects were 183 female college students attending one university. The study data were collected with the inventory of peer attachment-revised version, the self-esteem inventory, and the inventory for adjustment to college life. The data were analyzed by t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression. Results: There were significant differences in self-esteem according to residence type. There were significant differences in the adjustment to college life according to monthly income. There was a significantly positive correlation between peer attachment and adjustment to college life. There were significantly positive correlations between self-esteem and adjustment to college life and all of the subscales of adjustment to college life. Stepwise multiple regression analysis showed that 28.6% of the adjustment to college life was significantly explained by self-esteem and monthly income. Conclusion: Based on these findings, peer attachment is a very important factor influencing self-esteem which is itself a very important factor influencing adjustment to college life in female college students. Therefore, an alternative program designed to increase the self-esteem and peer attachment of female college students should be a planned program based on the study results.

• Journal of Korean Academy of Medicine & Therapy Science
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• v.10 no.2
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• pp.39-45
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• 2018

Objective: The aimes of this study is to analyze the effects of presbycusis on the quality of life. Method: 47-elderly were participated. The participants were divided into the suspected hearing impaired group (N=18) and the within normal limits (WNL) group (N=29). One-way ANOVA was performed to determine the association between the HHIE and WHOQOL-BREF scores by age group, and independent t-test was carried out to analyze the inter-group relations. Results: The scores in WHOQOL-BREF differed significantly by age group (p=.011): people in their sixties scored $3.7{\pm}.62$, those in their seventies $3.3{\pm}.56$, and those in their eighties $2.8{\pm}.60$, with significant differences observed. There were statistically significant inter-group differences (p=.000), with significant differences observed. Conclusion: The quality of life of the elderly were lowered depending on age and hearing impairment.

• The Journal of Economics, Marketing and Management
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• v.3 no.4
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• pp.13-20
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• 2015

This study examined the relationship between working capital management and performance of listed companies Stock Exchange in Tehran. A total of 40 companies from the cement industry for the period 2007 to 2010 of which only 25 were selected for this study had the condition. In order to achieve the objectives, this study surveys the exploration of correlation regression analysis and used the curve obtained, the regression equation. To test the hypothesis, quantitative analysis was used as a method. The results showed a negative relationship between the variables of working capital management and the company's performance and the only variable cash conversion cycle did not show a significant relationship. There is often a negative correlation between the variables studied. This study is based on five assumptions impact of working capital management on corporate profitability is examined. Therefore, the results suggest that the variables in working capital (average collection of receivables, average inventory turnover period, the average net debt and average transaction cycle) and net operating profit is significant negative correlation Net cash conversion cycle and only illustrates the relationship is not significant. Thus, it showed that in debt collection and debt payment period, the turnover of inventory and net trade cycle to reduce the profitability of companies will increase.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.6
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• pp.802-810
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• 1998

The purpose of this study is to find the analytic solution of determining the optimal capacity of processes and storages to meet the product demand. Recent trend to reduce product delivery time and to provide high quality product to customer requires the increasing capacity of storage facilities. However, the cost of constructing and operating storage facilities is becoming substantial because of increasing land value, environmental and safety concern. Therefore, reasonable decision making about the capacity of processes and storages is important subject for industries. The industrial solution for this subject is to use the classical economic lot sizing method, EOQ(Economic Order Quantity) model, trimmed with practical experience but the unrealistic assumption of EOQ model is not suitable for the chemical plant design with highly interlinked processes and storages. This study, a first systematic attempt for this subject, clearly overcomes the limitation of classical lot sizing method. The superstructure of the plant consists of the network of serially and/or parallelly interlinked processes and storages. A novel production and inventory analysis method, PSW(Periodic Square Wave) model, is applied. The objective function of optimization is minimizing the total cost composed of setup and inventory holding cost. The advantage of PSW model comes from the fact that the model provide a set of simple analytic solution in spite of realistic description of material flow between process and storage. The resulting simple analytic solution can greatly enhance the proper and quick investment decision for the preliminary plant design confronting diverse economic situation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.181-188
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• 2021

In preparing a aggregate production plan(APP), the transportation method generally uses a linear planning(LP) software package for TSM(transportation simplex method), which seeks initial solutions with either NCM, LCM, or VAM specialized in transportation issues and optimizes them with either SSM or MODI. On the other hand, this paper proposes a transportation method that easily, quickly, and accurately prepares a APP without software package assistance. This algorithm proposed simply assigned to least cost-first, and minimized the inventory periods. Applying the proposed algorithm to 6-benchmarking data, this algorithm can be obtained better optimal solution than VAM or LP for 4 data, and we obtain the same results for the remained 2 data.