There has been a growing number of research about children's development indicators and child well-being indicators. After the Convention on the Rights of the Child (CRC) and concluding observations on the second report of Korea, the effort to monitor and measure children's rights and the use of child rights indicators has increased within policy and academic research. However, few indicators provide a realization of children's rights. The purpose of this paper was to analyze children's own perceptions of their rights and to develop a children's rights index to measure children's rights. In this study, a children's rights index was developed from 38 indicators categorized into nine components and four domains (survival rights, development rights, protection rights, and participation rights) to measure children's rights. Data were gathered from 17,000 elementary and middle school children and their parents in 16 cities. The survey revealed significant differences in the children's rights index by region and age group. There was also a correlation between the economic circumstances of both households and communities and the children's rights index. In the light of the findings, it is suggested that there is a need to increase public investment on children and to raise awareness of children's rights in order to improve children's rights and to decrease disparity.
This study investigated the impact of the secondary trauma stress experienced by workers who support sexual violence victims on occupational stress level, and verified the moderating effect of the job education from support facilities in this relationship. The data analyzed in this study were sampled from "The Primary Study on The Development of Training Program to Cultivate Professional Workers of Support Organizations for Sexual Violence Survivors" as a secondary data and 482 nationwide workers were selected. By applying SPSS PROCESS macro, the moderation model was analyzed. The analysis results are as follows. First, sexual violence victim support workers' secondary trauma stress has a significantly influence on occupational stress level of workers. Second, the job education from support agencies themselves moderates the relationship between the secondary trauma stress and occupational stress level of support agents. It also showed that the higher level of job education participates, the less the experience of being stressed on the job. Thus, on the basis of the result, the theoretical discussion on the secondary trauma stress and occupational stress level of sexual violence victim support worker was drawn out and the empirical implication on the direction of the education for job related was suggested.
With a trend of the utilization of computer vision for satellite images, cloud detection using deep learning also attracts attention recently. In this study, we conducted a U-Net cloud detection modeling using SPARCS (Spatial Procedures for Automated Removal of Cloud and Shadow) Cloud Dataset with the image data augmentation and carried out 10-fold cross-validation for an objective assessment of the model. Asthe result of the blind test for 1800 datasets with 512 by 512 pixels, relatively high performance with the accuracy of 0.821, the precision of 0.847, the recall of 0.821, the F1-score of 0.831, and the IoU (Intersection over Union) of 0.723. Although 14.5% of actual cloud shadows were misclassified as land, and 19.7% of actual clouds were misidentified as land, this can be overcome by increasing the quality and quantity of label datasets. Moreover, a state-of-the-art DeepLab V3+ model and the NAS (Neural Architecture Search) optimization technique can help the cloud detection for CAS500 (Compact Advanced Satellite 500) in South Korea.
Journal of Korean Tunnelling and Underground Space Association
/
v.20
no.6
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pp.1161-1175
/
2018
An unexpected event could be easily followed by a large secondary accident due to the limitation in sight of drivers in road tunnels. Therefore, a series of automated incident detection systems have been under operation, which, however, appear in very low detection rates due to very low image qualities on CCTVs in tunnels. In order to overcome that limit, deep learning based tunnel incident detection system was developed, which already showed high detection rates in November of 2017. However, since the object detection process could deal with only still images, moving direction and speed of moving vehicles could not be identified. Furthermore it was hard to detect stopping and reverse the status of moving vehicles. Therefore, apart from the object detection, an object tracking method has been introduced and combined with the detection algorithm to track the moving vehicles. Also, stopping-reverse discrimination algorithm was proposed, thereby implementing into the combined incident detection processes. Each performance on detection of stopping, reverse driving and fire incident state were evaluated with showing 100% detection rate. But the detection for 'person' object appears relatively low success rate to 78.5%. Nevertheless, it is believed that the enlarged richness of image big-data could dramatically enhance the detection capacity of the automatic incident detection system.
Journal of Society of Occupational Therapy for the Aged and Dementia
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v.12
no.2
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pp.1-11
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2018
Objective : The aim of this study was to compare the sociodemographic characteristics, depression, quality of life, and unmet medical need in elders with and without limitation of activity by aging or dementia. Method : The data were used for raw data of seventh national health and nutrition examination survey (2016). We compared sociodemographic characteristics, depression, quality of life, and unmet medical needs between elders with limitation of activity by aging or dementia (n = 32) and elders without limitation of activity (n = 1201). Result : Elders with limitation of activity were significantly older than elders without limitation of activity (p<.001), income was lower (p<.05) and married status had more bereavement (p<.001). The elders with limitation of activity had higher depression (p<.001) and lower quality of life (p<.001) than elders without limitation of activity. Unmet medical need was greater than elders without limitation of activity (p<.001). Conclusion : Elders with limitation of activity showed that they did not receive enough medical services than elders without limitation of activity. These results suggest that the welfare system for the health care of population with aging or dementia needs to be improved.
Kim, Junghyun;Kim, Dae-Eun;Yoon, Joong-Soo;Lee, Jeong Soo;Park, Tae-Wha
Korean Journal of Clinical Laboratory Science
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v.51
no.1
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pp.93-104
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2019
This study examined the relationship between the number of medical technologists and the medical test count. Data was obtained from 441 medical technologists in a hospital through a self-reported questionnaire. The Pearson correlation test, student's t-test, ANOVA or descriptive statistics were performed for data analysis. The distribution of medical technologist according to the size of hospitals was small 5.8, medium 14.9, large 25.8, and super 45.4. The analysis demonstrated a relationship between the number of medical technologists and the number of medical tests in the field, number of clinical tests per MT, and number of optimal medical test per MT according to the hospital size (P<0.001). The average time for quality control by the department at a higher hospital was less than two hours. In terms of the satisfaction of salary, work environment, test accomplishment, and welfare service, the dissatisfaction of medical technologists in small and medium hospitals was higher than those in large and super hospitals. Overall, a focus on intensifying systemic supplementation and improving the condition of medical technologists is needed to provide reliable data for medical examinations in medical areas.
The quality of service delivery by governments to their citizens is a subject of concern in the contemporary society. E-governance is a critical aspect that is transforming government operation and service delivery to citizens and other bodies through application of information technology. This research explores the state of e-governing focusing on nations that are developing with special attention to Pakistan. The difficulties and benefits encountered are identified. The results are vital for implementers of e-governing systems in these countries. The methodology applied entails a secondary research that involves analysis and synthesis of literature relating the research topic. The results reveal that Pakistan has made incredible steps in setting up e-governance systems with growth in internet use and access of data from a digital platform. The findings reveal that e-government is associated with multiple benefits including enhanced quality of services, cost efficiency in service provision, enhance transparency and elimination of corruption, provide the basis for eradication of poverty, boost economic stability of a country, and provide room for direct democracy. The research also found that developing countries experience challenges in form of financial constraints, poor ICT infrastructure, illiteracy on e-government, political consensus constraints, legal obstacles, social and cultural constraints. E-government has the capability to transform the quality of governance provided by governments, and policymakers and implementers should address the constraints that act as a hindrance to its implementation.
Journal of Korean Society of Coastal and Ocean Engineers
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v.33
no.3
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pp.122-130
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2021
A wind-speed estimation at the arbitrary elevations is key component for the design of the offshore wind energy structures and the computation of the wind-wave generation. However, the wind-speed estimation of the target elevation has been carried out by using the typical functions and their typical parameters, e.g., power and logarithmic functions because the available wind speed data is limited to the specific elevation, such as 2~3m, 10 m, and so on. In this study, the parameters of the vertical profile functions are estimated with optimal and analyzed the parameter ranges using the HeMOSU-1 platform wind data monitored at the eight different locations. The results show that the mean value of the exponent of the power function is 0.1, which is significantly lower than the typically recommended value, 0.14. The values of the exponent, the friction velocity, and the roughness parameters are in the ranges 0.0~0.3, 0~10 (m/s), and 0.0~1.0 (m), respectively. The parameter ranges differ from the typical ranges because the atmospheric stability condition is assumed as the neutral condition. To improve the estimation accuracy, the atmospheric condition should be considered, and a more general (non-linear) vertical profile functions should be introduced to fit the diverse profile patterns and parameters.
Solutions for elderly health issues need to be found that take into account not only a medical perspective, but also interactions with social conditions such as socioeconomic status. With this in mind, this study aims to understand how socioeconomic status leads to health inequalities for the elderly. Specifically, this study investigates the mediating effects of socioeconomic status(income and education levels), health activities as an intermediary of the three dimensions of physical health(medical health, functional health, subjective health), accessibility of medical facilities, social participation, and social network. To test the research model, a secondary data analysis was conducted on the 2014 National Survey of Senior Citizens. The participants of the study were 10,451 elderly men and women aged 65 and above. To test the mediated model, hierarchical multiple regression analysis was conducted following the procedures suggested by Baron and Kenny(1986). In addition, a Sobel test was conducted to test the mediated model's significance. According to the analysis, the effects of income and educational levels on the health of the elderly were not the same. Additionally, different results were found depending on health dimensions. However, the overall direction of the results showed that the socioeconomic status of the elderly creates health disparities, and health behaviors, accessibility of medical facilities, social participation, and social network had significant mediation effects between socioeconomic status and physical health. Study findings especially worth noting are as follows: education was shown to have a stronger effect on health than income; effects of social integration factors such as social participation were highlighted; and significant mediating effects on the accessibility of medical facilities remained even after taking residential area into account. Results of this study shed light on health inequality mechanisms due to socioeconomic conditions and the need to find alternatives to alleviate these problems.
This study aims to demonstrate the longitudinal structural relationship between learner-centered instruction, learning motivation, growth beliefs, and academic stress. In particular, this study was carried out to focus on the structural effect of the related variables using data from the 3rd to 5th year of the Gyeonggi Education Panel Study. Results showed that while learner-centered instruction positively predicted both intrinsic and extrinsic motivation of learners, it predicted the former better. In addition, learner-centered instruction influenced academic stress through motivation, both intrinsic and extrinsic motivation were found to increase stress. Further, growth beliefs mediated motivation with learner-centered instruction; specifically, learner-centered instruction influenced learners' positive beliefs about growth, and learners who had growth beliefs had intrinsic motivation. At the same time, external motivation tended to be lower for learners who believed in the possibility of growth. Finally, the perceptions of learner-centered instruction affected academic stress through changes in growth beliefs. However, the other 3 factors (learner-centered instruction, learning motivation, and academic stress) were not statistically significant. In conclusion, learner-centered instruction was able to mitigate academic stress, demonstrating that this relationship is influenced by changes in growth beliefs rather than learning motivation, as previously studied. These results suggest that learners' perceptions and beliefs contribute to not only intrinsic motivation but also academic stress. Furthermore, it is suggested that learners need to change their learning environments in positive ways.
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