• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.29 no.3
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• pp.137-143
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• 2018

Objectives: The present study aimed to investigate the relationships among the lifetime incidence of trauma, internalizing symptoms, and quality of life (QoL) in out-of-school youths (OSYs). Methods: We recruited 50 OSYs in South Korea. Participants completed the following surveys: completed Lifetime Incidence of Traumatic Events for children, Youth Self Report, and The KIDSCREEN-27 QoL measure for children and adolescents. Mediation analysis was conducted to test the research hypotheses. Results: The mean lifetime incidence of traumatic events among OSYs was 3.27 (standard deviation, 2.41). Internalizing symptoms significantly mediated the lifetime incidence of trauma and QoL. OSYs with fewer internalizing symptoms exhibited a better QoL in the domain of psychological well-being, although their lifetime incidence of trauma was higher. Conclusion: The results of current study suggest that assessment and therapeutic intervention with regard to internalizing symptoms are needed to increase the QoL of OSYs.

• Journal of Pharmacopuncture
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• v.27 no.1
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• pp.27-37
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• 2024

Objectives: Posttraumatic stress disorder (PTSD) is a prevalent mental health condition, and techniques using sensory stimulation in processing traumatic memories have gained attention. The Emotional Freedom Techniques (EFT) is a psychotherapy that combines tapping on acupoints with exposure to cognitive reframing. This pilot study aimed to assess the feasibility of EFT as a treatment for PTSD by answering the following research questions: 1) What is the compliance and completion rate of patients with PTSD with regard to EFT protocol? Is the dropout rate reasonable? 2) Is the effect size of EFT protocol for PTSD sufficient to justify a future trial? Methods: Thirty participants diagnosed with PTSD were recruited. They received weekly EFT sessions for five weeks, in which they repeated a statement acknowledging the problem and accepting themselves while tapping the SI3 acupoint on the side of their hand. PTSD symptoms were evaluated using the PTSD Checklist for DSM-5 (PCL-5) before and after the intervention. Results: Of the 30 PTSD patients (mean age: 34.1 ± 9.1, 80% female), 96.7% showed over 80% compliance to the EFT sessions, and 86.7% completed the entire study process. The mean PCL-5 total score decreased significantly after the intervention, with a large effect size (change from baseline: -14.33 [95% CI: -19.79, -8.86], p < 0.0001, d = 1.06). Conclusion: The study suggests that EFT is a feasible treatment for PTSD, with high session compliance and low dropout rates. The effect size observed in this study supports the need for a larger trial in the future to further investigate EFT as a treatment for PTSD. However, the lack of a control group and the use of a self-rated questionnaire for PTSD symptoms are limitations of this study. The findings of this pilot study can be used to plan a future trial.

• Perspectives in Nursing Science
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• v.8 no.2
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• pp.156-166
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• 2011

Purpose: The purpose of this study was to understand the process of exercise adherence in middle aged women. Methods: The qualitative theme analysis method was used. The participants were 11 middle-aged women who had exercised over 6 months. Data were collected through in-depth interviews and recorded by and transcribed immediately. The data were coded with similar meaning and analysis themes with the constant comparative method. Results: The core theme was Stepping Stones Across the Stream (SSAS). The Stone means the adherence factors in exercise. The stream means the interrupting factors in exercise adherence. The subcategories were 1) feeling of developmental crisis, 2) searching for exit (from the developmental crisis), 3) finding a surprising new world (full of fun), 4) confronting the situation of dropout, and 5) adherence to exercise by SSAS. Conclusion: The predisposition of fun in middle aged women for the adherence of exercise should be explored along with more adherent factors.

• Perspectives in Nursing Science
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• v.18 no.1
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• pp.1-9
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• 2021

Purpose: This study was undertaken for developing a cognitive behavioral therapy (CBT) program for adolescents with eating disorders. Methods: The specific process for the development of this program involved establishing a program goal, analyzing existing CBT programs, and constructing a CBT program. Results: The program consisted of 12 sessions, which is shorter than typical programs conducted for people with eating disorders, in order to reduce the dropout rate. Each session was 40~60 minutes long, and included the use of the psychoeducation, Dysfunctional Thought Record, and activity planning. The participants attended 5 sessions individually and 7 with their family members. Conclusion: This study presented a 12-session CBT program for adolescents with eating disorders. These results will provide valuable data for developing effective programs to improve the quality of life of these adolescents.

• Journal of Engineering Education Research
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• v.25 no.4
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• pp.13-20
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• 2022

The purpose of this study is to objectively grasp the effect of the engineering education innovation support project among the national engineering-related financial support projects by dividing the groups according to the participation of support projects from 2018 to 2020 and dividing the university performance. As a result of the research the engineering education innovation support project has been consistently producing excellent results of field-based engineering education such as field-oriented industrial-educational collaboration capstone design, technology commercialization, and development and operation of corporate-linked education. It was found that the results showed that the dropout rate of college were lowered. In the future, it needs to be prepared as a place for new and free trials, innovations, and opportunities so that the engineering education innovation support projects can become the mother of other business groups.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.306-312
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• 2021

The main goal of higher education institutions is to present a high level of quality education to its students. This study uses data mining techniques to extract educational data from cumulative databases and used them to make the right decisions. This paper also aims to find the factors affecting students' academic performance in Majmaah University, KSA, during 2010 - 2017 period. The study utilized a sample of 6,158 students enrolled from two colleges, males and females. The results showed a high percentage of stumbling and dismissed between graduate and regular students where more than 62.5% failed to follow the plan. Only 2% of students scored distinction during their study of all graduated since their grade point average, secondary level, was statistically significant, where p<0.05. Dismissed percentage was higher among males. These results promoted some recommendations in which decision-makers could take them in considerations for better improvement of academic achievements: including of specialized programs to follow-up in regards to stumbling and failure. Utilization of different communication tools are needed to activate academic advisory for dismiss and dropout evaluation.

• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.274-284
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• 2021

Customized services to a sleep induction for better sleepcare are more effective because of different satisfaction levels to users. The EOG data measured at the frontal lobe when a person blinks his eyes can be used as biometric data because it has different values for each person. The accuracy of measurement is degraded by a noise source, such as toss and turn. Therefore, it is necessary to analyze the noisy data and remove them from normal EOG by filtering. There are low-pass filtering and high-pass filtering as filtering using a frequency band. However, since filtering within a frequency band range is also required for more effective performance, we propose a machine learning model for the filtering of EOG data in this paper as the second filtering method. In addition, optimal values of parameters such as the depth of the hidden layer, the number of nodes of the hidden layer, the activation function, and the dropout were found through experiments, to improve the performance of the machine learning filtering model, and the filtering performance of 95.7% was obtained. Eventually, it is expected that it can be used for effective user identification services by using filtering model for EOG data.

• Journal of the Korean Society of School Health
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• v.34 no.2
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• pp.123-132
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• 2021

Purpose: Adolescents are vulnerable to depression; however, many health policies for adolescents tend to target students in schools. This study aims to identify factors related to depression according to gender among adolescents who have ceased attending school either temporarily or permanently. Methods: The data were generated from the 5th Dropout Youth Panel Survey (2017), and this study included 318 students in the survey that had dropped out of school. The data were analyzed using hierarchical multiple linear regression to identify related factors in depression among the participants. The analyses were performed by SPSS 25.0 program. Results: The depression scores of the students who had ceased attending school were: 20.28±5.47 for boys; 21.23±5.88 for girls. Their depression scores are significantly associated with self-esteem (p<.001 for boys; p=.001 for girls) and social stigma (p=.002 for boys; p=.002 for girls). Among those, peer attachment (p=.050), community integration (p=.004), and community disorder (p<.001) were significantly associated with depression only in boys. Conclusion: The findings of this study suggest that strategies for managing depression in adolescents who have dropped out of school should address the differences in contributing factors according to gender. This study also suggests a basis for approaching such a strategy.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.275-285
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• 2022

Educational culture generally refers to learners' perceptions, attitudes, and behaviors related to education. Given that educational culture of the university is considered a major factor influencing students' college life, such as learning development, achievement, and dropout, identifying their perceptions of the educational culture is critical to establish the university's education goals and directions. Therefore, this study aimed to identify the educational culture recognized by K university's students and analyze differences in perception with professors to derive implications for future improvement.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.5
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• pp.371-378
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• 2015

In this paper, a different type of pulse width modulation (PWM) control scheme for a buck converter is introduced. The proposed buck converter uses PWM with frequency hopping and a low quiescent.current low dropout (LDO) voltage regulator with a power supply rejection ratio enhancer to reduce high spurs, harmonics and output voltage ripples. The low quiescent.current LDO voltage regulator is not described in this paper. A three-bit binary-to-thermometer decoder scheme and voltage ripple controller (VRC) is implemented to achieve low voltage ripple less than 3mV to increase the efficiency of the buck converter. An internal clock that is synchronized to the internal switching frequency is used to set the hopping rate. A center frequency of 2.5MHz was chosen because of the bluetooth low energy (BLE) application. This proposed DC-DC buck converter is available for low-current noise-sensitive loads such as BLE and radio frequency loads in portable communications devices. Thus, a high-efficiency and low-voltage ripple is required. This results in a less than 2% drop in the regulator's efficiency, and a less than 3mV voltage ripple, with -26 dBm peak spur reduction operating in the buck converter.