• Korean journal of applied entomology
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• v.61 no.3
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• pp.481-496
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• 2022

In order to establish an effective pest control strategy, we investigated the occurrence of lepidopteran insects in the major trees growing in urban forests from 2019 to 2021. In total, we recorded 76 species of 14 families in Prunus spp., 40 species of eight families in Acer spp., 43 species of 10 families in Zelkova serrata, 28 species of seven families in Rhododendron spp., and 10 species of four families in Hibiscus syriacus. Among these, Hyphantria cunea and Lymantria dispar were recorded from all five tree taxa monitored. The most frequently occurring species in the different tree groups were as follows: H. cunea and Phalera flavescens in Prunus yedoensis, Epinotia ulmicola in Z. serrata, and Rehimena surusalis in H. syriacus. H. cunea also occurred in Rhododendron spp. and Acer spp., although the numbers were lower than those recorded in Prunus spp. and Z. serrata. Our results highlight the importance of focusing on the frequency of occurrence of lepidopteran insects in Prunus spp. and Z. serrata, whereas the presence of these insects in both Acer spp. and Rhododendron spp. Appears to be less problematic. From the perspective of reducing the risks to human health, our findings indicate that the application of pheromones for monitoring lepidopteran species and the use of mating disruptors would be desirable approaches that would contribute to minimizing the spraying of pesticides in urban forests.

• The Mathematical Education
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• v.62 no.2
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• pp.175-194
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• 2023

Despite the importance of pattern learning for elementary school students, few studies have investigated in detail the understanding of patterns of lower-grade students. This study aimed to analyze the understanding of patterns of second-grade elementary school students. Since the patterns in the second grade are taught through the unit called Finding Rules, students' understanding of patterns was compared and contrasted before and after they learned the unit. To this end, a written instrument to measure students' understanding of patterns was developed on the basis of previous studies on pattern learning for lower-grade students. A total of 189 students were analyzed. As a result of the study, the overall correct answer rates in the post-test were higher in most items than those in the pre-test, illustrating the positive effect of the specific unit. However, students found it difficult to find rules in which two components would change simultaneously either in geometric or numeric patterns, find patterns that would be similar in structure, represent geometric patterns into numeric patterns, find empty terms in increasing patterns, and reason the specific terms in patterns that can be differently interpreted. Based on these research results, this study sheds light on students' understanding of patterns and suggests implications to improve their understanding.

• The Korean Journal of Coaching Psychology
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• v.5 no.2
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• pp.83-100
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• 2021

The purpose of this study was to investigate the positive impact that social value coaching has on employees, specifically highlighting the role of regulatory focus. Based on a coaching model, we developed a social value coaching program and applied it to the employees. We investigated whether the experimental group that participated in the social value coaching program would report higher levels of meaning of work, hedonic job satisfaction, eudaimonic job satisfaction, and job crafting compared to the control group, as well as whether regulatory focus would function as a moderator. We only analyzed the moderating role of prevention focus as promotion focus did not show any moderating effects. The results suggest that the experimental group that participated in the social value coaching program reported significant increases in all of the outcome variables compared to the control group. Additionally, for meaning of work, hedonic job satisfaction, and eudaimonic job satisfaction, the effects of the coaching program was stronger for those with a higher level of prevention focus than those with a lower level of it. Based on these results, we discussed the implications and limitations of this research, as well as suggestions for future research.

• Journal of Korean Society of Forest Science
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• v.111 no.1
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• pp.186-200
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• 2022

The purpose of this study was to provide the basic data necessary for stakeholders to establish and promote policies related to the national forest trail. Awareness analysis was conducted on 800 visitors to the national forest trail, specifically to the Jirisan trail and Daegwallyeong forest trail, as well as 1,200 members of the public. Awareness of the national forest trail was low and at a similar level for both visitors and the general public; however, compared with the general public, the visitors had a higher need for the national forest trail system and were willing to visit and recommend the trail. The most common answers in response to the purpose of visit, reason for choosing the national trail, matters of interest, problems, necessary regulation, and role expectations were similar among the visitors and general public. Based on gender and age, there was a significant difference in the matters of interest and desired activity, but "scenery" was the most crucial factor. Therefore, after a comprehensive survey on the major view points, given that "scenery" was identified as an attractor, a system should be developed to identify and provide the information desired by visitors and the general public. These results are expected to be employed as basic data for stakeholders in decision making related to the national forest trail.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.91-117
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• 2022

The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.

• Korean Association of Arts Management
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• no.52
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• pp.75-105
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• 2019

In studying culture consumption today, it is essential to understand and analyze the actual visitors' experiences in detail. This is deeply related to the fact that we can utilize subjective experience records that were previously inaccessible as data since plenty of people actually record many performance experiences in the media space such as social media. This study attempts to examine what elements actually consists of people's performance experience based on actual expression of the performance experience that exists online. For this, we collected two types of data. First, we collected posts which required performance recommendation on online platforms such as Jisik-In and Cafes to see how people describe what they want and analyzed data focusing on the modifiers. Results show that people mainly use modifiers that reflect the specific situation of the individual such as companion or age. In addition we analyzed how the experience was described after the show through the review posts of ticket booking site. Results show how expressions are centered around companions, revisit intentions, and viewing experiences besides elements such as story and music, which have been known as main satisfaction elements of performance experience in previous studies. In addition, we discussed the practical implications and limitations of the study as well as the theoretical discussion.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.95-103
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• 2023

This paper proposes an artificial intelligence convergence education program for teaching the main concept and principle of Support Vector Machines(SVM) at elementary schools. The developed program, based on Jeju's natural environment theme, explains the decision boundary and margin of SVM by vertical and parallel from 4th grade mathematics curriculum. As a result of applying the developed program to 3rd and 5th graders, most students intuitively inferred the location of the decision boundary. The overall performance accuracy and rate of reasonable inference of 5th graders were higher. However, in the self-evaluation of understanding, the average value was higher in the 3rd grade, contrary to the actual understanding. This was due to the fact that junior learners had a greater tendency to feel satisfaction and achievement. On the other hand, senior learners presented more meaningful post-class questions based on their motivation for further exploration. We would like to find effective ways for artificial intelligence convergence education for elementary school students.

• Journal of Dental Rehabilitation and Applied Science
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• v.38 no.4
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• pp.233-241
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• 2022

Purpose: The purpose of this study was to assess the dimensional change of 3D-printed dentures after post-curing. Materials and Methods: The upper and lower dentures were designed in Exocad DentalCAD software and exported as STL files. The upper and lower dentures were printed from 10 STL files using a DLP-type dental 3D printer. The printed upper and lower dentures were cleaned, and a scan file was created using a model scanner before and after post-curing. The dimensional change was evaluated by superimposing the scanned denture files before and after post-curing and measuring the distance between measurement points on the denture. SPSS was used for statistics, and the level of significance was 5%. Results: The maxillary denture reduced in size during post-curing, with the most notable color change occurring in the posterior palatal region. The reduction in anteroposterior maxillary denture length (A-D, A-E, A-F), as well as the distance between the first molars on both sides (B-C), was statistically significant. After post-curing, the mandibular denture showed more noticeable color change in the posteriorly buccal and lingual region. The decrease of length on the posterior (A-M, A-D, A-E, A-L, A-H, A-I, H-I) and lingual (J-K, L-M) sides of the denture were statistically significant. Conclusion: There was significant dimensional change in both the length and width of the 3D-printed maxillary and mandibular dentures after post-curing in this experiment. Consequently, it is seemed necessary to develop post-curing techniques and materials that reduce such denture deformation.

• Education of Primary School Mathematics
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• v.26 no.1
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• pp.45-63
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• 2023

The activity of finding rules is useful for enhancing the algebraic thinking of elementary school students. This study analyzed the pattern activities of a finding rules unit in 10 different government-authorized mathematics curricular materials for fourth graders aligned to the 2015 revised national mathematics curriculum. The analytic elements included three main activities: (a) activities of analyzing the structure of patterns, (b) activities of finding a specific term by finding a rule, and (c) activities of representing the rule. The three activities were mainly presented regarding growing numeric patterns, growing geometric patterns, and computational patterns. The activities of analyzing the structure of patterns were presented when dealing mainly with growing geometric patterns and focused on finding the number of models constituting the pattern. The activities of finding a specific term by finding a rule were evenly presented across the three patterns and the specific term tended to be close to the terms presented in the given task. The activities of representing the rule usually encouraged students to talk about or write down the rule using their own words. Based on the results of these analyses, this study provides specific implications on how to develop subsequent mathematics curricular materials regarding pattern activities to enhance elementary school students' algebraic thinking.

• Korean Journal of Social Welfare Studies
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• v.42 no.1
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• pp.31-54
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• 2011

This study investigates the nature of the welfare state under the Kim Dae Jung and Roh Moo Hyun regime focusing on participatory democracy in the policy decision making procedure for the National Health Insurance. Participatory democracy was introduced not for the qualitative development of Korean democracy but for securing political legitimacy to change the Korean economic structure after the IMF financial crisis. Although participatory democracy played the positive role in winning higher benefit level in National Health Insurance. an index for the development of the welfare state, in 2007 A policy of higher benefit level ended in failure because of the pursuit of the neoliberal ideology, lack of government's responsibility for public finance, and thwarting policy holders' substantial participation in the decision-making process. Like those of past welfare systems, participatory democracy under the Kim Dae Jung and Roh Moo Hyun regime was introduced for securing political legitimacy. But it was managed under restrictions imposed by pro-economic-growth ideology. Nevertheless, the Kim Dae Jung and Roh Moo Hyun governments are different from the former welfare states because of the fact that participatory democracy system is not 'service' system but 'political structure' and the fact that the grant of powers by participatory democracy played positive roles in the development of welfare state through request of higher benefit level policy.