• Korean Journal of Social Welfare
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• v.63 no.1
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• pp.317-342
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• 2011

This study aims to find out the determinants of male police officers' investigative behavior(active investigation vs. secondary victimization) of sexual violence. For this purpose, a hypothetical model which explains the relationships among the 5 variables (knowledge of law about the investigative role, perception of the protective & connective role, prejudice against the sexual violence, active investigation, and secondary victimization) was developed. Using the data collected from 354 male police officers of 3 cities in Gyeongnam area, the hypothetical model was tested. For data analysis, a structural equation modeling was used, and the final model was found(CFI=0.947, IFI=0.948, RMSEA=0.048). As a result of analyzing the model, the followings were found: (1) Active investigation was increased by knowledge of law about the investigative role, and perception of the protective & connective role, while decreased by prejudice against the sexual violence. (2) Secondary victimization was decreased by knowledge of law about the investigative role. (3) Prejudice against the sexual violence mediate the effects of knowledge of law about the investigative role, and perception of the protective & connective role on active investigation. (4) Prejudice against the sexual violence was found to have no significant effect on secondary victimization. Based on the findings, multi-educational programs, protocols on investigation of sexual violence, professionalization of the police, and changes in investigation environment as well as a system of collaboration and cooperation between police officer and social worker were suggested as a way to increase active investigation and to decrease secondary victimization.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.681-693
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• 2022

The purpose of this study is to suggest a plan to utilize atypical data in the health care field by inferring standard medical terms related to the musculoskeletal system through keyword network analysis of medical records of patients hospitalized for musculoskeletal disorders. The analysis target was 145 summaries of discharge with musculoskeletal disorders from 2015 to 2019, and was analyzed using TEXTOM, a big data analysis solution developed by The IMC. The 177 musculoskeletal related terms derived through the primary and secondary refining processes were finally analyzed. As a result of the study, the frequent term was 'Metastasis', the clinical findings were 'Metastasis', the symptoms were 'Weakness', the diagnosis was 'Hepatitis', the treatment was 'Remove', and the body structure was 'Spine' in the analysis results for each medical terminology system. 'Oxycodone' was used the most. Based on these results, we would like to suggest implications for the analysis, utilization, and management of unstructured medical data.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.32 no.2
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• pp.208-214
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• 1987

A genetic study on the panicle characters in Oryza sativa was carried out by means of a 5 x 5 diallel cross. The five parental varieties were Raekyung, Yeongnamjosaeng, Nongbaek, Yushin and Honenwase. All characters were correlated positively each other, except number of kernels per primary branch. The number of secondary branches per primary branch.was the most effective factor in determining the number of kernels per panicle, the next being the number of primary branches per panicle. Regression analyses of the data of Vr/Wr indicated the presence of non-allelic gene interactions for all characters. Overdominant characters were the number of kernels per panicle, the number of primary branches per panicle, the number of secondary branches per primary branch, the number of kernels per primary branch and sum of kernels on all the tertiary branches per panicle, suggesting that the characters were more influenced by dominant effect than additive effect. However, the number of kernels per secondary branch was partially dominant where the genetic variation was due more to additive effect than to dominance effect. But after omitting the parent which had non-allelic interaction gene, the characters; the number of kernels per panicle, the number of secondary branches per primary branch, and the number of kernels per secondary branch, were partially dominant. Narrow sense heritabilities(h$^2$ N) in number of kernels per panicle and number of secondary branches were high and moderate, respectively, but those of the rest were lower. Mean squares of GCA and SCA of all characters, except SCA of the number of kernels per secondary branch, were highly significant. Effects of GCA were larger than SCA effects in all characters. Raekyung, Yushin and Nongbaek had highly positive GCA, and the best positive SCA was observed in crosses of Nongbaek x Tongillines (Raekyung, Yushin, and Yeongnamjosaeng) in all characters.

• Current Optics and Photonics
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• v.1 no.5
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• pp.440-455
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• 2017

In this paper, we carry out a performance analysis of a two-user free-space optical (FSO) communication system with photodetector multiplexing, in which the two users are defined as the primary user (PU) and secondary user (SU). Unlike common single-user FSO systems, our photodetector multiplexing FSO system deploys a shared detector at the receiver and enables PU and SU to send their own data synchronously. We conduct the performance analysis of this FSO system for two cases: (1) in the absence of background radiation, and (2) in the presence of background radiation. Decision strategies for PU and SU are presented according to the two scenarios above. Exact and approximate conditional symbol-error probability (SEP) expressions for both PU and SU are derived, in an ideal channel with no fading. Average SEP expressions are also presented in the no-background-radiation scenario. Additionally, in some particular cases where the power ratio tends to 0.5 or 1, approximate SEP expressions are also obtained. Finally, numerical simulations are presented under different conditions, to support the performance analysis.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.280-285
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• 2007

Since the human civilization, people's livelihood is dependent on natural resources primarily on forest. Human dimensions such as population, poverty, agricultural expansion and infrastructure development are some of the underlying factors and their interrelated associations which could play a vital role in deforestation and forest degradation. This process is not only related to the human population but also connected to the various socioeconomic factors. This paper focuses to link the spatio-temporal extent of population, poverty incidence and forest dependency and their severity on Terai forest of Nepal. Secondary data on censuses were used. ArcGIS and descriptive statistics were also used for data analysis. Based on analysis & literature review we concluded that population, poverty and forest dependency have largely expanded over time in Terai and their interrelated associations substantively influence on deforestation. However, the direct relationship of such factors with deforestation and forest degradation found to be incompatible, complex and hard to perceive with fragmented and inconsistency censuses data. So, deforestation and forest degradation issues intertwined with socioeconomic factors need detailed analysis to comprehend where these linkages are still unravel.

• Korean Journal of Occupational Health Nursing
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• v.29 no.4
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• pp.273-287
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• 2020

Purpose: This descriptive correlation study was conducted to investigate factors affecting the absence of adult workers according to their gender. Methods: Secondary data analysis was carried out using data from the fifth Korean Working Conditions Survey. Data on respondents' demographic characteristics, working conditions, health status, and absence were analyzed; a descriptive analysis, χ²-test, t-test, and logistic regression analysis were carried out. Results: The factors that had the greatest impact on male workers' absence from work were service workers (2.74 times; B=.99), having more than 53 hours of work per week (1.17 times; B=.52), and when subjective health conditions were not satisfied (2.27 times; B=.82), whereas the factors that affected female workers' absence the most were a monthly income of 3 million won or more (2.74 times; B=1.34), a weekly work time of 53 hours (2.02 times; B=.71), and having a fewer number of sleep disorders (B=-.36). Conclusion: This study suggests that not only the national interest should be considered in investigating the factors affecting absence but also the enterprise. Systematic support for the health care of workers is also needed.

• Korean Journal of Adult Nursing
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• v.26 no.2
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• pp.244-252
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• 2014

Purpose: This study was aimed to examine the prevalence of metabolic syndrome (MetS) and cardiovascular risk factors among workers at small-sized companies having fewer than 50employees in Korea. Methods: A descriptive cross-sectional study was conducted using a secondary data analysis on workers' health examination data. Data from 21,784 employed workers were analyzed, including 16,488 males (mean age 38.7years)and 5,296 females (mean age 40.5 years). Participants were newly enrolled in annual health check-ups at a professional health clinic from 2009 to 2011. Logistic regression analysis was performed to identify age-adjusted gender specific predicting factors of MetS incidence. Results: The prevalence of MetS was 13.4% in male and 7.7% in female workers. Logistic regression analysis showed that, when age was adjusted for, family history of cardiovascular disease (CVD) was a predicting factor in both male and female workers. For male workers, heavy alcohol drinking and non-manual occupation (office workers/drivers) predicted MetS. Conclusion: Health care providers should screen for MetS periodically in small work places especially for those with a family history of CVD. Educational counseling needs to be given to male workers with sedentary occupations with an aim to reduce heavy drinking and encourage lifestyle modification.

• The Korean Journal of Ecology
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• v.12 no.4
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• pp.209-218
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• 1989

In order to elucidate the relationship among the several forest types in the green-sbelt nearby Seoul, the vascular plant species data collected preferentially from 52 stands were subjected to DCA (detrended correspondence analysis). Eight types of forests were arranged on the I/II plane fo DCA stand ordination, Quercus mongolica, Alnus hirsuta, Populus alba $\times$ glandulosa, Robinia pseudo-acacia, Pinus densiflora, Pinus koraiensis, Larix leptolepis and pinus rigida forest. Correlation analysis between the stand scores of DCA and environmental factors revealed that the axis I of DCA stand ordination implied the gradient of altitude, organic matter, total nitrogen and depth of A horizon. The axis II implied the gradient of total nitrogen and soluble phosphorus. The results of PCA (principal components analysis) by environmental data were in good agreement with that of DCA by floristic data. The recruitments of Quercus spp. Occurred in all kinds of forest types in the green-belt and their recruitments were closely related with altitutde: Quercus dentata in the foot. Quercus serrata in the midslope and Quercus mongolica in the uperslope of the mountain.

• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.817-827
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• 2017

Purpose: This study aimed to identify latent classes based on major modifiable risk factors for coronary artery disease. Methods: This was a secondary analysis using data from the electronic medical records of 2,022 patients, who were newly diagnosed with coronary artery disease at a university medical center, from January 2010 to December 2015. Data were analyzed using SPSS version 20.0 for descriptive analysis and Mplus version 7.4 for latent class analysis. Results: Four latent classes of risk factors for coronary artery disease were identified in the final model: 'smoking-drinking', 'high-risk for dyslipidemia', 'high-risk for metabolic syndrome', and 'high-risk for diabetes and malnutrition'. The likelihood of these latent classes varied significantly based on socio-demographic characteristics, including age, gender, educational level, and occupation. Conclusion: The results showed significant heterogeneity in the pattern of risk factors for coronary artery disease. These findings provide helpful data to develop intervention strategies for the effective prevention of coronary artery disease. Specific characteristics depending on the subpopulation should be considered during the development of interventions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.99-109
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• 2021

This study aims to examine the causal links between the fiscal components, i.e., government expenditures (GE) and government revenues (GR), and their impact on the economic growth of the Association of Southeast Asian Nations (ASEAN) region. This analysis considered secondary panel data from 1990 to 2019 at an annual frequency. The data is obtained from the Asian Development Bank (ADB) and World Bank Database. A panel cointegration and panel DH causality (Dumitrescu and Hurlin) approach was employed on financial data at an annual frequency from 1990 to 2019. The findings from panel unit root and panel cointegration tests demonstrate that, at first, all the variables are stationary and cointegrated. The panel ARDL disclosed that GE has a long-run connection with GDP, is significantly and positively associated with economic growth in the long run, whereas GR is significant in the short run. The contribution of GE is high in sustaining economic growth as compared to GR. Also, cointegration regression disclosed that GE is more sensitive toward GDP, while GR is less elastic. Lastly, the findings reveal that bidirectional causality exists between GE and GR variables. These results have policy implications for sustainable economic growth in the ASEAN region.