• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.248-255
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• 2013

The objective of this study is to optimize the Metal Injection Molding(MIM) process with design of experiments(DOE) and numerical analysis. To derive the optimal process condition, experiment or numerical analysis was performed under various process conditions. To analyze the interaction among influential factors contributing to the temperature at flow front and response surface in MIM, both central point and axial point were added to the full factorial design with 2 levels and 5 factors and then their impacts on response variable in 43 experimental conditions were analyzed and the significance was evaluated. As a result, sprue, runner, and gate were completely filled in about 0.247 seconds after injection, the front part of the green body was filled in about 0.3344 seconds, the green body except gate, etc changed to almost solid state in about 3.29 seconds, the Packinging pressure was completed in about 6.29 seconds, and the green body inside and outside and sprue, etc became solid in 13.2 seconds. The impact of individual or reciprocal action of factors on the temperature at flow front was analyzed through regular probability, test statistics, main effect, and interaction effect. As a result, of a total of 31 combinations of factors, 9 unit factors and reciprocal actions were significant, and the screening was also possible. A proper regression equation was drawn with regression analysis and response surface design on the response variable of temperature at flow front, and the applicability could be verified.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4323-4326
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• 2016

Background: The cancer mortality-to-incidence ratio (MIR) has been established as an important measure of health disparities in local and global circumstances. Past work has corroborated a linkage between the colorectal cancer MIR and the World Health Organization (WHO) Health System ranking. The literature further documents many Asian countries having incomplete cancer registries and a lack of comprehensive colorectal cancer screening guidelines. Materials and Methods: The colorectal cancer MIR values for 23 Asian countries were calculated from data obtained from the 2012 GLOBOCAN database. The 2000 World Health Organization (WHO) Health System rankings were used as a proxy for health system infrastructure and responsiveness. A regression equation was calculated with the MIR as the dependent variable and the WHO Health System ranking as the independent variable. Predicted MIR values were next calculated based on the regression results. Actual MIR values that exceeded 0.20 from the predicted MIR were removed as 'divergent' points. The regression equation was then re-plotted. Goodness-of-fit for both regressions was assessed by the R-squared test. Results: Asian countries have a relatively wide colorectal cancer MIR range, from a minimum of 0.24 to a maximum of 0.86. For the full dataset, the adjusted R-squared value for this regression was 0.53. The equation was then used to calculate a predicted MIR, whereby two data points were identified as 'divergent' and removed. The adjusted R-squared for the edited dataset increased to 0.66. Conclusions: Asian countries have a marked range in their colorectal cancer MIR values and there is a strong correlationwith the WHO Health System ranking. These results corroborate the contribution of the MIR as a potentially robust tool in monitoring changes in colorectal cancer care for Asian nations.

• Transactions of Materials Processing
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• v.29 no.5
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• pp.241-250
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• 2020

In this study, the methodology of the springback prediction of automotive parts applied 3rd generation AHSS was investigated using the response surface model analysis based on a regression model, and the meta model analysis based on a Kriging model. To design the learning data set for constructing the springback prediction models, and the experimental design was conducted at three levels for each processing variable using the definitive screening designs method. The hat-shaped member, which is the basic shape of the member parts, was selected and the springback values were measured for each processing type and processing variable using the finite element analysis. When the nonlinearity of the variables is small during the hat-shaped member forming, the response surface model and the meta model can provide the same processing parameter. However, the accuracy of the springback prediction of the meta model is better than the response surface model. Even in the case of the simple shape parts forming, the springback prediction accuracy of the meta model is better than that of the response surface model, when more variables are considered and the nonlinearity effect of the variables is large. The efficient global optimization algorithm-based Kriging is appropriate in resolving the high computational complexity optimization problems such as developing automotive parts.

• Health Policy and Management
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• v.27 no.2
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• pp.177-185
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• 2017

Background: The mental problems of the elderly are at issue as a serious social phenomenon. The purpose of this study is to identify risk factors affecting the mood disorders of the elderly. Methods: The subjects were 1,779,236 aged ${\geq}65$ and participated in health screening. Dependent variable was mood disorders. Independent variables were consisted of community level (regional deprivation index and healthcare resources) and individual level (sex, age, insurance type, disability, smoking, alcohol, physical activity, body mass index, and healthcare utilization). Multilevel logistic regression was performed. Results: At the individual level, women, employed insured, severely disabled people, heavy alcohol drinkers, high-intensity physical activity, body mass index, and patients who had chronic disease and severe disease were significantly associated with mood disorders. As the age has increased, it has let increase of mood disorders. At the community level, as the regional deprivation index has increased by 1, mood disorders has been increased by 1.005 times. The intra-class coefficient was 7.04%. Conclusion: We found individual and community level factors are associated with mood disorders. Systematic approach is essential to reduce mood disorders.

• The Korean Journal of Rehabilitation Nursing
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• v.12 no.1
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• pp.39-46
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• 2009

Purpose: The purpose of this study was to identify the level of burden and social support of mothers with Cerebral Palsy (CP) children, and to determine whether providing social support is an effective strategy to relieve the burden of those mothers. Method: From October to November 2007, the data were collected from 63 mothers with CP children who were admitted and treated for CP at Y rehabilitation center in Seoul. The data were analyzed with t-test, ANOVA, Scheffe's test, Pearson's Correlation Coefficient, and Stepwise Multiple Regression using SPSS 12.0. Results: Burden of mothers was related to the Gross Motor Function Classification System (GMFCS) of the CP children. Social support was negatively correlated and GMFCS was positively correlated with burden of mothers. Social support and GMFCS was statistically significantly related with burden of mothers with CP children by multiple regression analysis. Conclusion: There was a significantly negative correlation between social support and burden. It demonstrated that social support, an important factor relating to burden imposed on mothers of CP children, can be considered as an intervening variable which can contribute to decrease of burden. In addition, applying developmental screening measures are needed to decrease disability severity.

• Korean Journal of Social Welfare
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• v.48
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• pp.333-358
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• 2002

The purpose of this study is to analyze empirically the causes of high unemployment among the people with disabilities, focused on productivity and discrimination. In order to pursue such goal this study adopts human capital theory, screening theory, job contest theory, taste theory and statistical discrimination theory as theoretical background. The major findings are: (1) Among the human capital variables Education degree and job training are not statistically significant on employment. Only degree of activity limit has significant effect. (2) Among the discrimination related variables only discrimination experiences variable has negative effect on employment. (3) Between degree of activity limit and discrimination experiences, both have similar effect on employment. But the degree of activity limit can be thought as discrimination related element. Because' not giving resonable accommodation' is regarded discrimination in ADA or DDA. These mean that it is important for society to compel the employment of the disabled and to put focus on eliminating prejudice rather than accomplishing education and job training programs to improve the employment of the disabled. In order to accomplish this it is necessary to increase the levy for disabled persons' employment promotion of the disabled persons' employment promotion act and to establish the disability discrimination act. Also, integrated education starting from infancy is necessary. Education system should be changed, and Job training must focused on industry which demand more labor force.

• Journal of Families and Better Life
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• v.6 no.1
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• pp.71-93
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• 1988

The purpose of this study is to investigate the realities of the husband's violence, to develop a scale to identify women who are victims of wife abuse and to provide evidence of the scale's validity. The Instrument entitled the Wife Abuse Inventory (WAI) and conflict Tactics Scale(CTS), are administered to 511 women who lives in Taegu area. The main results are as follows; 1) The CTS analysis shows the 42.5% of the sampled house wives are suffered minor violence and 9/0% are suffered violence form husband. 2) The WAI is factor analyzed to examine factor components within the scale. An examination of the rotated solutions suggested that WAI is composed 10 factors. These factor is labeled men's conception of supremency and aggression propensity, communication, economic difficulties and frustration, social activities, jealousy, children rearing, intimacy, family relationships in laws , affection, difference of culture. 3) an analysis of variance show the group mean score of the violence group and the mean score of the non-violence group on the WAI to be significantly different(P<.001). A discriminant analysis produce a significant discriminant function (P<.001). Using WAI scores as the discriminating variable, 81,15% of the violence and non-violence subjects are classified into their appropriate groups. This finding indicates that the WAI is a reliable device for screening violence and nonviolence group.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.2823-2828
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• 2013

Background: This study was performed to evaluate relationships between different demographic variables and hopelessness and depression in end of life Turkish cancer patients. This study was a descriptive survey with repeated measures conducted a university hospital in the city of Erzurum, in the eastern part of Turkey. The study enrolled 216 patients undergoing palliative treatment at the hospital. Materials and Methods: Data were collected using questionnaires (demographic questionnaire, Beck Hopelessness Scale (BHS), Beck Depression Scale (BDS) and analyzed for demographic and disease-related variable effects on hopelessness and depression. Results: Th hopelessness score was significantly high in female, illiterate, married, and living in rural areas cancer patients. Both hopelessness and depression scores were significantly higher with longer disease duration, receiving radiotherapy treatment, and having metastatic disease. Conclusions: These findings demonstrate the coexistence of the physical, psychological, and cognitive problems faced by patients with cancer. Nurses can conduct brief screening assessments to identify patients with probable distress and and psychosocial support, as well as referrals to support services.

• Proceedings of the KSRS Conference
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• 2008.03a
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• pp.195-200
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• 2008

The accuracy of classifying pixels in HIRIS images is usually degraded by noisy bands since noisy bands may deform the typical shape of spectral reflectance. Proposed in this paper is a statistical method for noisy band removal which mainly makes use of the correlation coefficients between bands. Considering each band as a random variable, the correlation coefficient measures the strength and direction of a linear relationship between two random variables. While the correlation between two signal bands is high, existence of a noisy band will produce a low correlation due to ill-correlativeness and undirectedness. The application of the correlation coefficient as a measure for detecting noisy bands is under a two-pass screening scheme. This method is independent of the prior knowledge of the sensor or the cause resulted in the noise. The classification in this experiment uses the unsupervised k-nearest neighbor algorithm in accordance with the well-accepted Euclidean distance measure and the spectral angle mapper measure. This paper also proposes a hierarchical combination of these measures for spectral matching. Finally, a separability assessment based on the between-class and within-class scatter matrices is followed to evaluate the performance.

• Korean Journal of Veterinary Research
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• v.41 no.1
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• pp.13-19
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• 2001

A simple and rapid analytical method for the determination of tylosin in chicken, pork and muscle was established by High-Performance Liquid Chromatography(HPLC). Chicken, pork and beef muscle(5 g) were fortified by adding the $0.2{\mu}g/ml$ of standard tylosin and the drug was extracted from meats with 70% acetonitrile(ACN) and followed by liquid-liquid partition for clean-up procedure. Then $20{\mu}l$ portion of ACN elution was directly analyzed by HPLC with spectra 100 variable wavelength detector, and unfortified blank control were treated similarly. The average recovery rate of tylosin added to chicken, pork and beef muscle were $83{\pm}2.3$, $96{\pm}3.3$ and $92{\pm}1.6$(%) at the level 0.2 ppm, respectively. No tylosin residues in marketing meats. These results suggested that HPLC methodology could be acceptable for the extraction, determination and screening of tylosin residues in edible meats.