• Korean Journal of Social Welfare
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• v.52
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• pp.5-32
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• 2003

This paper examines the labor entry of conditional welfare recipients. This paper focuses on two questions. First, what is the percentage of conditional welfare recipients who have labor entry? Second, what are the predictors in the labor entry and the duration to the entry? Using Data about 917 welfare recipients who participated in the self-sufficiency programs of the Offices for Secure Employment in Seoul, this paper attempts to answer the above questions. Logistic regression analysis and survival analysis are adopted to identify variables predicting labor entry of conditional welfare recipients. This paper also utilizes a multiple imputation method to deal with the limitation of data by the missing values in some variables. The major findings are as follows: about 43.8% of the conditional welfare recipients have successful labor entry; and in the labor entry and the duration to the entry, gender, household, information and referral services for employment, health and willingness for self-sufficiency are the predictors that are statistically significant. Among these variables, health and willingness for self-sufficiency are more noticeable; it is recognized that programs to care for health of welfare recipients who want to have the labor entry and counseling programs to strengthen welfare recipients' willingness for labor entry are very important for them to be successful in the labor entry. This paper provides a basic knowledge about realities of the conditional welfare recipients' labor entry, identifies research areas for further research, and develops policy implications for their self-sufficiency.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.245-253
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• 2011

Due to the imprudent spending of the fossil fuels, the environment was contaminated seriously and the exhaustion problems of the fossil fuels loomed large. Therefore people become taking a great interest in alternative energy resources which can solve problems of fossil fuels. The wind power energy is one of the most interested energy in the new and renewable energy. However, the plants of wind power energy and the traditional power plants should be balanced between the power generation and the power consumption. Therefore, we need analysis and prediction to generate power efficiently using wind energy. In this paper, we have performed a research to predict power generation patterns using the wind power data. Prediction approaches of datamining area can be used for building a prediction model. The research steps are as follows: 1) we performed preprocessing to handle the missing values and anomalous data. And we extracted the characteristic vector data. 2) The representative patterns were found by the MIA(Mean Index Adequacy) measure and the SOM(Self-Organizing Feature Map) clustering approach using the normalized dataset. We assigned the class labels to each data. 3) We built a new predicting model about the wind power generation with classification approach. In this experiment, we built a forecasting model to predict wind power generation patterns using the decision tree.

• Journal of muscle and joint health
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• v.4 no.1
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• pp.1-14
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• 1997

It is reported that self-help education is effective to increase self-efficacy for the patients with chronic illness. Also self-efficacy Is proved to be an Important variable to effect the physical and psychological health state. Based upon this theoretical framework, KRHPS (Korean Rheumatology Health Professions Society) has administered for 2 years the self-help education increasing self-efficacy for the patients with arthritis. The group had a weekly session for 6 weeks. During the session, self-efficacy was increased by 1) actually performing a behavior, 2) listening to other patients talking about a successful experience or seeing other patients performing a behavior, 3) Instructor's or another patient's verbal persuasion, and 4) physiological cues experienced by themselves. Every group had 4-15 participants and 2 instructors. Data were collected by self-administered questionaire for 211 out of 361 participants. One hundred and fifty two subjects were analyzed because of missing values. As a result, it was confirmed that self-help education was effective to increase self-efficacy and self-efficacy was an important variable to Improve pain, depression, and ADL. Also it may fairly be said that nurses were right health-professionals to lead self-help groups for the patients with chronic illness. So it is important to facilitate many other self-help education for the patients with chronic illness.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.362-362
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• 2010

Today, vast attention has been paid to periodic arrays of nanostructures due to their potential for applications such as memory with huge storage density. Such application requires large-scale fabrication of well ordered nano-sized structures. One of the most widely used methods for the ordered nanostructures is lithography. This top-down process, however, has the limit to reduce size. Here the promising alternative is the self-organization of ordered nano-sized structures such as large scale 2d carbon-induced reconstructions on W(110). In the present study, we report on the first well-resolved atomic resolution STM studies of the well-known R($15{\times}3$) and R($15{\times}12$) carbon induced reconstruction of the W(110). From the atomic image of R($15{\times}3$) for different values of tunneling gap resistance, we can tell there are no missing atoms in unit cells of R($15{\times}3$) and some atomic displacements are substantial from the clean W(110), even though not all the imaged position of atoms correspond to tungsten, but may include those of carbon. We are considering two cases; First case is related to lattice deformation, or top layer of W(110) is deformed in the process of relief of strain caused by random inserting of carbon atoms possibly in the interstitial position. In the second case, R($15{\times}3$) unit cell results from a coincidence lattice between clean W(110) substrate and tungsten carbide overlayer which has rectangular atomic arrangement and giving R($15{\times}3$) coincidence lattice. beta-W2C showing rectangular unit cell should be a candidate. Further, we report on new reconstructions. Unlike the well-known R($15{\times}12$) consisting of two parts, two inner structures between two "Backbone" structures. The new reconstruction, which we found for the first time, contains more parts between the "Backbone"s. Sometimes we can observe the reconstruction consists of only inner parts without "Backbone" parts. Thus, the observed reconstruction can be built by constructing of two types of "Lego"-like block. Moreover, the rectangle shape of "Backbone" transform to parallelogram-like shape over time, the so-called wavy-R($15{\times}12$). Adsorption of hydrogen can be the reason for this transformation.

• Journal of Service Research and Studies
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• v.6 no.3
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• pp.107-122
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• 2016

This study was intended to examine the effect that the quality of service delivered by social commercial companies and service providers and perception towards seriousness of service failure would have on the intention of repurchase and revisit. 10 hypotheses were derived from literature review. excluding the questionnaires that contained many missing values or inconsistent or insincere answers. The results of this study can be summarized from 3 aspects. First, it was found that the quality of service delivered by social commerce companies had a statistically significant effect on social commerce companies' service failure(Hypothesis 1) and social commerce company repurchase intention(Hypothesis 3) in connection with the effect that the quality of service delivered by social commerce companies and service providers would have. The quality of service delivered by service providers was found to have a statistically significant effect on service providers' service failure(Hypothesis 2) and service provider revisit intention(Hypothesis 4). Second, the perception towards seriousness of service failure by social commerce companies and service providers was found to have the following effect: The service failure by social commerce companies(Hypothesis 5) was found to have a statistically significant effect on service provider revisit intention(Hypothesis 8), but did not have a statistically significant effect on social commerce company repurchase intention (Hypothesis 6). The service failure by service providers was found to be statistically significant for service provider revisit intention(Hypothesis 7) and social commerce companies purchase intention(Hypothesis 9). Finally, service provider revisit intention was found to be statistically significant for social commerce company repurchase intention(Hypothesis 10).

• Health Policy and Management
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• v.31 no.4
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• pp.462-471
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• 2021

Background: The purpose of this study was to identify the association between participation in social activities and mortality rates for those aged 45 aged and older in Korea. Methods: In this study, the 1st to 6th Korea Longitude Study of Aging was used to analyze 10,217 people excluding missing values among middle and old age groups aged 45 or older. The scope of social activities was classified into "religious gatherings," "religious gatherings," "leisure/cultural/sports-related organizations," and "clubs/hometowns/religious associations," and analyzed using a chi-square test and Cox proportional risk model. Results: In the case of non-participating groups in religious activities, the mortality rate was 1.24 times higher (hazard ratio [HR], 1.24; p=0.000) than those of the participating group. The non-participating group of social gatherings had a 1.27 times higher mortality rate (HR, 1.27; p<0.0001) than the participating group. In addition, the mortality rate of non-participating groups related to leisure/cultural/sports was 1.79 times higher (HR, 1.79; p=0.000). The mortality rate of the group that did not participate in the alumni association/festival/folklore society was 1.51 times higher than that of the participating group (HR, 1.51; p<0.0001). As a result of correcting the control variable to analyze the relationship between the number of participants in social activities and the mortality rate, the mortality rate of the group participating in one or less social activities was 2.26 times higher (HR, 2.26; p<0.0001) compared to the four or more social activity participating groups, and the mortality rate of the 1-3 social activities was 1.64 times higher (HR, 1.64; p<0.0001). Conclusion: As a result of the study, it was found that participation in social activities of the middle-aged and elderly groups was effective in reducing mortality, and in particular, it was found that there was a strong relationship with mortality in less than one social activity group. Therefore, it is intended to provide an academic basis for lowering the mortality rate of the group in line with the continuous improvement of domestic social activity participation conditions, and through this, this study can be expected to serve as a policy and institutional basis for lowering the mortality rate of the group.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.99-104
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• 2021

In this paper, we propose health risk management using feature extraction and cluster analysis considering time flow. The proposed method proceeds in three steps. The first is the pre-processing and feature extraction step. It collects user's lifelog using a wearable device, removes incomplete data, errors, noise, and contradictory data, and processes missing values. Then, for feature extraction, important variables are selected through principal component analysis, and data similar to the relationship between the data are classified through correlation coefficient and covariance. In order to analyze the features extracted from the lifelog, dynamic clustering is performed through the K-means algorithm in consideration of the passage of time. The new data is clustered through the similarity distance measurement method based on the increment of the sum of squared errors. Next is to extract information about the cluster by considering the passage of time. Therefore, using the health decision-making system through feature clusters, risks able to managed through factors such as physical characteristics, lifestyle habits, disease status, health care event occurrence risk, and predictability. The performance evaluation compares the proposed method using Precision, Recall, and F-measure with the fuzzy and kernel-based clustering. As a result of the evaluation, the proposed method is excellently evaluated. Therefore, through the proposed method, it is possible to accurately predict and appropriately manage the user's potential health risk by using the similarity with the patient.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.755-765
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• 2021

The objectives of this study are to subdivide the group of elderly population into the liberation generation as a poor generation that experienced the barley hump, and the baby boom generation to verify differences in the mean of social capital and well-being between those groups of two generations, to verify the effects of social capital on the well-being, and then to review differences between those groups of two generations regarding the effects of subfactors of social capital on the well-being. This study collected and analyzed data from 200 people excluding missing values from the baby boom generation and liberation generation born in 1945-1963, in the D region from July 1st to July 31st, 2018. The main results of this study are as follows. in the results of comparatively reviewing the social capital having effects on the well-being of each group of liberation generation and baby boom generation, when relieving the statistical significance level to 90%, the network was working as a variable having effects on both groups. In this case, when mutually comparing the influence of regression coefficient as �� value, the network had a relatively larger effect on the well-being of the liberation generation.

• The Journal of Korean Academy of Prosthodontics
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• v.59 no.1
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• pp.1-10
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• 2021

Purpose: The purpose of this study is to evaluate the relationship between removable denture and depression. This study aims to investigate the relationship between depression and each group by dividing them into a group that were using removable dentures and a group that needed removable dentures but were not using removable dentures. Materials and methods: This study was conducted using raw data from the 7th Korea National Health and Nutrition Examination Survey (KNHNES). By using variables related to the state of the prosthesis and the need for prosthesis among oral examination data, the oral examination data were classified into two groups; group using removable denture and group in need of removable dentures. In addition, the variables of depression were classified into normal (0-4), mild depression (5-9), moderate depression (10-19), and severe depression (20-27) using the values of PHQ-9. For statistical analysis, logistic regression analysis was performed using SAS 9.4. Results: In the group in need of removable dentures, the risk of severe depression was statistically and significantly higher than the group using removable dentures. Conclusion: In patient who have lost multiple teeth, rehabilitation of the missing area with removable dental prosthesis is expected to decrease the occurrence of severe depression.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.248-261
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• 2021

The purpose of this study is that the blood nutrient indicator in adult women, is the depressive indicator. This study recruited 77 pre-menopausal women, and excluding missing values, 53 (mean age 44.2±6.5 years) blood indexes were statistically confirmed and then analyzed the effect of indexes on the Beck Depression Inventory. The Beck's Depression Inventory(BDI)'s average of the study subjects was 7.6±7.2, and most of the depression symptoms were within the normal range. Only two women were very serious and other two women were serious state. As a result of this study, 21 questions of BDI was classified into 5 sub-factors. Of these, 2 factors were considered physical depression, 1 factor was mood depression, 1 factor was cognitive depression, and 1 factor undecided. As a result of the correlation analysis, triglyceride, LDL(low density lipoprotein) cholesterol and potassium showed statistically significant positive relationship with depressive factors. On the other hand, HDL(high density lipoprotein) cholesterol, sodium and chloride ions showed negative relationship with depressive factors. When multiple regression analysis was performed. Considering the depression factors was dependent variable, and triglyceride, cholesterol, blood sugar, and ketone bodies was considered as independent variables. HDL(high density lipoprotein) cholesterol had a statistically significant negative effect on the depression factor 3. Considering the depression factors was dependent variable, and minerals were considered as independent variables. Potassium had a positive effect, and chloride ions had a negative effect on the depressive factor 3. This study was limited to 77 pre-menopausal women. In the future, post-menopausal women, men, and clinical neurological disorders group will be possible.