• Journal of Korea Port Economic Association
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• v.40 no.3
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• pp.61-78
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• 2024

This study centered on labor demand between ship officers and ratings in the maritime sector, focusing on human capital theory. Ship officers bear the primary responsibilities in ship operations, including navigation, compliance with safety procedures, crew and resource management, and strategic decision-making, necessitating high levels of education and experience. Conversely, ratings execute various tasks aboard ships under the guidance of officers, contributing to daily operations. Using a multifactor Cobb-Douglas production function, the study evaluated the productivity of ship officers and ratings and analyzed the segmentation of their respective labor markets. The analysis revealed that globalization did not significantly impact either ship officers or ratings. However, technological advancements notably adversely affected the labor demand for ratings, highlighting its role in widening wage gaps and exacerbating job insecurity among less skilled workers within broader economic and social contexts. The study concludes by emphasizing the need for appropriate employment policies responsive to fluctuations in labor demand for ship officers and ratings due to economic changes. It also underscores the importance of flexible responses to the impacts of technological progress on different job sectors, advocating for policy approaches that prioritize worker education and training.

• Korean Journal of School Psychology
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• v.16 no.3
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• pp.471-499
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• 2019

The purpose of this study was to develop a program that reduces adolescent delinquency and enhances adolescents' social problem-solving, emotional regulation, and self-control skills and to assess the effectiveness of the program. The program was administered in the form of a role-playing game ("RPG") to increase the participants' motivation to participate in and the effectiveness of the therapy. The subjects in this study were 36 adolescents who engaged in delinquent behavior and their 18 homeroom teachers in middle schools located in Seoul and Gyeonggi Province. The subjects were randomly assigned to the experimental group or the comparison group. The experimental group received the proposed RPG-based cognitive behavioral group therapy while comparison group received problem-solving group therapy. Teachers in the experimental group were educated about how to guide their students following each therapy session while teachers in the comparison group did not receive any education. The dependent variables in this study were incidences of delinquent behavior and social problem-solving, emotional regulation, and self-control skill level. Each variable was assessed before treatment, immediately after the end of the full treatment program, and two months after the end of the full treatment program. At the end of the full treatment program, the experimental group engaged statistically significantly in fewer delinquent behaviors and displayed statistically significantly higher levels of social problem-solving, emotional regulation, and self-control skills than the comparison group. These differences persisted until the assessment two months after the end of the full treatment program. Moreover, the experimental group reported higher levels of satisfaction with the treatment program than the comparison group. The findings of this study suggest that this RPG-based cognitive behavioral group therapy program is effective at reducing adolescent delinquency, improving adolescents' social and emotional management techniques and strategies for avoiding delinquency, and in motivating delinquent adolescents to engage more actively in treatment.

• Korean Journal of Health Education and Promotion
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• v.5 no.2
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• pp.26-40
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• 1988

This survey was conducted to find out the present status of health education program being provided in primary schools focusing its planning, operation, contents and attitude of school nurses in September, 1988. Total 413 school nurses who are presently working in Seoul city was surveyed by mail and 167 school nurses who responded to the questionnaire were finally ana lysed. The following results were obtained. 1. The general charcteristics of the school nurses′ surveyed. As for age distribution, 30-40 age group was 60.4％ the highest and the mean age was 30. 13. As for educational attainment, junior nursing college was 71.9％. 68.3％ of the surveyed was married and 43.1％ of them has 5-10 years of working experiences. As for schools where school nurses are presently working, 31.7％ has 2,000-3,000 students, 22.8％ has 50-60 classes and 5 schools have more than 80 classes. 2. Planning of a school health education School health education was planned every semester in 55.7％, which was the highest. As for utilization status of the materials for planning of a school health education as a referance, 86.8％ of the total respondants utilized the guidelines published by Seoul city School nurses′ Association, and the administrative guidelines for school health, textbooks, school health statistics and articles related to school health in order. It was tried whether the number of referances being utilized was related to the working experiences. It was found that the shorter the experiances, the more materials were utilized. It was answered that teaching plan for health education was prepared by school-nurses themselves (95.2％), and was differentiated as three levels as the first and second grades, the third and fourth grades, and the fifth and sixth grades 3. The contents of the school health education 16 subjects offered to 6 grades of students were surveyed as follows. As for fifth and sixth grades, contents on growth and development was most widely provided as 54.5％, and 68.9％, respectively. And the next to this subject, dental health education was also frequently offered to the second, third and fourth grades as 50.9％, 68.9％, and 47.3％, respctively. 4. The operation of school health education Health education provided by school nurses was conducted formallu in 36.6％, and formally of informally accordin to grades in 43.9％. It was answered that 50.3％ of the surveyed school had started health education from 1987, when the plan for activation of school health was ordered from. Educational Committee. Teaching hours of school nurses was 6 in 32.9％, which was the highest. The lesson was provided for class unit in 77.2％, and sex education was sometimes offered to male and female students separately. As for support of health personnels out of school for health education, 79.0％ did not receive any support. If there were any aids out of school, 62.9％ received them from other related agencies and 74.3％ anwered that it was once in a semester. As for expenses for health education, 57.3％ did not input any expenses alloted to school health program as a whole. As audio-visual materials, slides were utulized most frequently and models, and charts in order. 5. Awareness of school nurses on the operation of school health education School nurses evaluated their educational quality as a health educator subjectively, 60-70％ of them answered to be average in 4 domains such as knowledge, educational skill, ability to prepare teaching plan, and cooperation. As for the awareness on the support and cooperation of the higher institutions, 46.4％ -61.8％ answered that "so and so" toward Ministry of Education and Ministry of Affairs, and 13-37％ "not supportive" Teachers of the corresponding schools were answered to be "so and so" in 55.9％-56.7％, and "very supportive" in 33.34％. There was a significant difference in formality of the lesson according to the support of the superintendent.

• Journal of the korean academy of Pediatric Dentistry
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• v.32 no.1
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• pp.75-88
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• 2005

Ameloblastoma is the most commonly occurring odontogenic tumor in oral cavity. Although most are benign epithelial neoplasm, they are generally considered to be locally aggressive and destructive, exhibiting a high rate of recurrence. The biological behavior of this neoplasm is a slowly growing, locally invasive tumor without metastasis, therefore malignant neoplasm, changed its histological appearance to carcinoma or showed distant metastasis, is only defined clinically. In this study, we identified the differentially expressed genes(DEGs) in stages under benign or malignant ameloblastoma compared with normal patient using ordered differential display(ODD) reverse transcription(RT)-PCR and $GeneFishing^{TM}$ technology. ODD RT-PCR is rather effective when the investigation of samples containing very small amounts of total RNA must be accomplished. ODD RT-PCR used the means of amplification with anchored T-primer and adaptor specific primer. bearing definite two bases at their 3' ends and so this method could display differential 3'-expressed sequence taqs(ESTs) patterns without using full-length cDNAs. Compared with standard differential display, ODD RT-PCR is more simple and have enough sensitivity to search for molecular markers by comparing gene expression profiles, However, this method required much effort and skill to perform. $GeneFishing^{TM}$ modified from DD-PCR is an improved method for detecting differentially expressed genes in two or more related samples. This two step RT-PCR method uses a constant reverse primer(anchor ACP-T) to prime the RT reaction and arbitrary primer pairs(annealing control primers, ACPs) during PCR. Because of high annealing specificity of ACPs than ODD RT-PCR, the application of $GeneFishing^{TM}$ to DEG discovery generates reproducible, authentic, and long(100bp to 2kb) PCR products that are detectable on agarose gels. Consequently, various DEGs observed differential expression levels on agarose gels were isolated from normal, benign, and malignant tissues using these methods. The expression patterns of the some isolated DEGs through ODD RT-PCR and $GeneFishing^{TM}$ were confirmed by Northern blot analysis and RT-PCR. The results showed that these identified DEGs were implicated in ameloblastoma neoplasm processes. Therefore, the identified DEGs will be further studied in order to be applied in candidate selection for marker as an early diagnosis during ameloblastoma neoplasm processes.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.813-824
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• 2024

This study was conducted to evaluate the long-term effects of training on the physical development and exercise performance of adolescent weightlifters, aiming to provide effective training and management strategies for improving competitive performance. In order to achieve the objectives of the study, adolescent weightlifters from middle and high schools in Chungcheongnam-do province [male middle school-aged athletes, n=5; female middle school-aged athletes, n=5; male high school-aged athletes, n=12; female high school-aged athletes, n=8] were examined over approximately 10 months of weightlifting-based training to analyse the changes in body composition, physical fitness (muscular strength, muscular endurance, agility, flexibility, dynamic balance, coordination), and isokinetic muscular function (trunk and lower extremity). As a result, it was found that the physical development of middle and high school-aged athletes underwent physical development primarily characterized by an increase in lean body mass. Additionally, back muscle strength and power, which contribute to rapid and efficient force transmission between the upper and lower body, as well as grip strength necessary for controlling the barbell with a stable grip, are significant factors. These aspects were notably enhanced through specialized training and competitive experience for weightlifting performance at the high school level. On the other hand, changes in factors beyond the primary physical attributes contributing to weightlifting performance were limited, suggesting differences in effectiveness likely stemming from the specific composition of training programs or the athletes' experience and skill levels. Collectively, the findings from this study, which evaluates the physical characteristics and exercise abilities of adolescent weightlifters, are expected to contribute to improved competitive performance of weightlifters.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1286-1288
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• 2024

The construction industry, known for its inherent risks and multiple hazards, necessitates effective solutions for hazard identification and mitigation [1]. To address this need, the implementation of machine learning models specializing in object detection has become increasingly important because this technological approach plays a crucial role in augmenting worker safety by proactively recognizing potential dangers on construction sites [2], [3]. However, the challenge in training these models lies in obtaining accurately labeled datasets, as conventional methods require labor-intensive labeling or costly measurements [4]. To circumvent these challenges, synthetic data generation (SDG) has emerged as a key method for creating realistic and diverse training scenarios [5], [6]. The paper reviews the evolution of synthetic data generation tools, highlighting the shift from earlier solutions like Synthpop and Data Synthesizer to advanced game engines[7]. Among the various gaming platforms, Unity 3D and Unreal Engine stand out due to their advanced capabilities in replicating realistic construction hazard environments [8], [9]. Comparing Unity 3D and Unreal Engine is crucial for evaluating their effectiveness in SDG, aiding developers in selecting the appropriate platform for their needs. For this purpose, this paper conducts a comparative analysis of both engines assessing their ability to create high-fidelity interactive environments. To thoroughly evaluate the suitability of these engines for generating synthetic data in construction site simulations, the focus relies on graphical realism, developer-friendliness, and user interaction capabilities. This evaluation considers these key aspects as they are essential for replicating realistic construction sites, ensuring both high visual fidelity and ease of use for developers. Firstly, graphical realism is crucial for training ML models to recognize the nuanced nature of construction environments. In this aspect, Unreal Engine stands out with its superior graphics quality compared to Unity 3D which typically considered to have less graphical prowess [10]. Secondly, developer-friendliness is vital for those generating synthetic data. Research indicates that Unity 3D is praised for its user-friendly interface and the use of C# scripting, which is widely used in educational settings, making it a popular choice for those new to game development or synthetic data generation. Whereas Unreal Engine, while offering powerful capabilities in terms of realistic graphics, is often viewed as more complex due to its use of C++ scripting and the blueprint system. While the blueprint system is a visual scripting tool that does not require traditional coding, it can be intricate and may present a steeper learning curve, especially for those without prior experience in game development [11]. Lastly, regarding user interaction capabilities, Unity 3D is known for its intuitive interface and versatility, particularly in VR/AR development for various skill levels. In contrast, Unreal Engine, with its advanced graphics and blueprint scripting, is better suited for creating high-end, immersive experiences [12]. Based on current insights, this comparative analysis underscores the user-friendly interface and adaptability of Unity 3D, featuring a built-in perception package that facilitates automatic labeling for SDG [13]. This functionality enhances accessibility and simplifies the SDG process for users. Conversely, Unreal Engine is distinguished by its advanced graphics and realistic rendering capabilities. It offers plugins like EasySynth (which does not provide automatic labeling) and NDDS for SDG [14], [15]. The development complexity associated with Unreal Engine presents challenges for novice users, whereas the more approachable platform of Unity 3D is advantageous for beginners. This research provides an in-depth review of the latest advancements in SDG, shedding light on potential future research and development directions. The study concludes that the integration of such game engines in ML model training markedly enhances hazard recognition and decision-making skills among construction professionals, thereby significantly advancing data acquisition for machine learning in construction safety monitoring.