• Child Health Nursing Research
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• v.11 no.1
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• pp.132-141
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• 2005

Purpose: This study was conducted to describe mother's child-rearing attitudes and problem conduct of children as perceived by children and to examine correlation between maternal nurturing attitudes and child problem behavior. Method: The participants were 338 fifth and sixth graders who attended two randomly selected elementary schools in the city of G, Gangwon province. Child-rearing attitudes of the mother were rated on a 5-pointed scale that developed by Schaefer and added by Oh & Lee(1982). Problem conduct of children were rated on a 3-pointed scale of the K-YSR by Oh Kyung-Ja et al.(1997). The data were gathered from October 2 to October 28, 2004, and the collected data were analyzed with SPSS 10.0 program. Results: For the children's perception of mother's child-rearing attitude, student had a relatively high mean scores of 3.70±0.44. Correlations between the mother's child-rearing attitude and general characteristics of the children showed statistically significantly different according to grade, father-mother relations, type of residence and extent to which father shared household chores. The mean score for problem conducts of children was 0.47±0.25. The average for their internal behavior problems was 0.52±0.33, and for external behavior problems was 0.44±0.24. There were statistically significantly differences in the behavior problem scores of the children according to the general characteristics of grade, education, occupation, mother-father relations, extent to which father shared in household chores and religion. As to correlation between mother's child-rearing attitude and their problem conduct, every type of attitude had a significantly moderate reverse correlation to every type of behavior problem of the children(r=-.431, p=.000). Conclusion: Mother's child-rearing attitudes might affect the problem conduct of children, and mother should try to treat their children with affection and respect, to maintain good relations with father, and to bring their children up coherently in an autonomous, permissive, positive and democratic manner.

• Journal of the Korean society of biological therapies in psychiatry
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• v.24 no.3
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• pp.156-162
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• 2018

Objectives : This study aimed to investigate the relationship between the level of ego-resilience and depression, anxiety, conduct problems and self-esteem in a large sample of Korean adolescents. Methods : A total 4508(2036 males and 2472 females) middle and high school students in Gwang-ju metropolitan city were included in this study. Subjects were asked to complete a self-reported questionnaire, including Ego-Resilience(ER) scale, Beck Depression Inventory(BDI), Beck Anxiety Inventory(BAI), Self-Esteem Scale(SES), 15 items in Korean-Youth Self Report(K-YSR) to measure conduct problems and demographic variables. Subjects were classified into three high, intermediate and low ER group according to total ER scale scores. Results : Total ER scores was positively correlated with total SES scores and negatively correlated with total BDI, BAI, and conduct problem scores. Using analysis ANOVA(analysis and variance) and post hoc test, significant mean differences in BDI, BAI, SES and conduct problem scores were observed among the three groups. High ER group showed that SES scores were significantly higher and BDI, BAI and conduct problem scores were significantly lower than that observed in middle and lower ER group. Using multiple regression analysis, the results showed that depression, low self-esteem were significant factors affecting ego-resilience in adolescents. Conclusion : Our findings indicate that depression, anxiety, behavioral problem such as conduct problems and low self-esteem are associated with low ego-resilience.

• Journal of Information Technology Services
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• v.22 no.1
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• pp.43-56
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• 2023

With the development of the e-commerce market, various types of products continue to be released. However, customers face an information overload problem in purchasing decision-making. Therefore, personalized recommendations have become an essential service in providing personalized products to customers. Recently, many studies on GCN-based recommender systems have been actively conducted. Such a methodology can address the limitation in disabling to effectively reflect the interaction between customer and product in the embedding process. However, previous studies mainly use implicit feedback data to conduct experiments. Although implicit feedback data improves the data scarcity problem, it cannot represent customers' preferences for specific products. Therefore, this study proposed a novel model combining explicit and implicit feedback to address such a limitation. This study treats the average ratings of customers and products as the features of customers and products and converts them into a high-dimensional feature vector. Then, this study combines ID embedding vectors and feature vectors in the embedding layer to learn the customer-product interaction effectively. To evaluate recommendation performance, this study used the MovieLens dataset to conduct various experiments. Experimental results showed the proposed model outperforms the state-of-the-art. Therefore, the proposed model in this study can provide an enhanced recommendation service for customers to address the information overload problem.

• Industrial Engineering and Management Systems
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• v.10 no.1
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• pp.24-33
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• 2011

In this paper, we consider the Location-Routing Problem with simultaneous pickup and delivery (LRPSPD) which is a general case of the location-routing problem. The LRPSPD is defined as finding locations of the depots and designing vehicle routes in such a way that pickup and delivery demands of each customer must be performed with same vehicle and the overall cost is minimized. Since the LRPSPD is an NP-hard problem, we propose a hybrid heuristic approach based on genetic algorithms (GA) and simulated annealing (SA) to solve the problem. To evaluate the performance of the proposed approach, we conduct an experimental study and compare its results with those obtained by a branch-and-cut algorithm on a set of instances derived from the literature. Computational results indicate that the proposed hybrid algorithm is able to find optimal or very good quality solutions in a reasonable computation time.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.28 no.1
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• pp.11-13
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• 2017

This article addresses the roles of the speech language pathologist (SLP) for singers who require prompt and effective treatment when a voice problem arises. The causes of voice problem are often vocal abuse/misuse/overuse, muscle tension dysphonia and inappropriate singing technique. The SLP should conduct voice counseling and voice assessment for maintaining healthy voice of singer constantly.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.60 no.1
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• pp.1-5
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• 2011

The main purpose of this study was to examine the learning abilities of college electrical students, especially self-regulated learning abilities and problem solving ability. In addition, this study was to explore the effects of self-regulated learning abilities and problem solving ability of the college students on academic achievement. For this purpose, a total of 58 college freshmen was chosen to conduct a survey. The results of this study showed that self-regulated learning abilities and problem solving ability significantly influenced on the college engineering students' academic achievement. Based on these study results, the above variables investigated in this study should sufficiently considered in the design and development of the college engineering courses that enable students to become self-regulated learners and improve their academic achievement.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.3
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• pp.305-312
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• 2014

This research deals with a problem that minimizes makespan in a non-identical parallel machine system with sequence and machine dependent setup times and machine dependent processing times. We first present a new mixed integer programming formulation for the problem, and using this formulation, one can easily find optimal solutions for small problems. However, since the problem is NP-hard and the size of a real problem is large, we propose four heuristic algorithms including genetic algorithm based heuristics to solve the practical big-size problems in a reasonable computational time. To assess the performance of the algorithms, we conduct a computational experiment, from which we found the heuristic algorithms show different performances as the problem characteristics are changed and the simple heuristics show better performances than genetic algorithm based heuristics for the case when the numbers of jobs and/or machines are large.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.12 no.2
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• pp.237-244
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• 2001

Objectives：Dysfunctional parent-child relationships have been associated with various mental and conduct disorders in adolescence and mental problems in adulthood as well. Most studies have done in clinical settings and little is known about the relationship between parenting and adolescent problem behaviors in community settings. This study is done to compare the perceived parenting and problem behaviors between problem behavior group and those of non-problem behavior group in male adolescents. Methods：The subjects of this study were 147 male high school students in Seoul, who do not have any known mental or conduct disorders and live with their real parents. Parental Bonding Instrument and Youth Self Report were administered to evaluate the perceived parenting and problem behaviors of adolescents. Results：There were significantly higher scores of mother overprotection in problem behavior group when comparing to non-problem behavior group. There was a significant association between mother overprotection and problem behavior when adjusting the number of family members, mother's job, parents' education level, grades, and religion. Conclusion：The parenting such as mother overprotection can be helpful to predict the problem behaviors in male adolescents, and appropriate parenting may prevent various problem behaviors in male adolescents.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.647-649
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• 2023

Sentiment analysis as part of natural language processing (NLP) has received much attention following the demand to understand people's opinions. Aspect-based sentiment analysis (ABSA) is a fine-grained subtask from sentiment analysis that aims to classify sentiment at the aspect level. Throughout the years, researchers have formulated ABSA into various tasks for different scenarios. Unlike the early works, the current ABSA utilizes many elements to improve performance and provide more details to produce informative results. These ABSA formulations have provided greater challenges for researchers. However, it is difficult to explore ABSA's works due to the many different formulations, terms, and results. In this paper, we conduct a comparative analysis of recent studies on ABSA. We mention some key elements, problem formulations, and datasets currently utilized by most ABSA communities. Also, we conduct a short review of the latest papers to find the current state-of-the-art model. From our observations, we found that span-level representation is an important feature in solving the ABSA problem, while multi-task learning and generative approach look promising. Finally, we review some open challenges and further directions for ABSA research in the future.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.34 no.3
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• pp.169-174
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• 2023

Objectives: Oppositional defiant disorder (ODD) is often comorbid with other psychiatric disorders in childhood. This study aimed to investigate comorbid psychiatric symptoms and associated factors in elementary school children with symptoms of ODD. Methods: The participants consisted of 205 mother-offspring pairs. Psychiatric symptoms were measured using the Diagnostic Predictive Scales and Korean Child Behavior Checklist. Psychiatric comorbid symptoms were compared between children with ODD symptom and those without ODD symptom. Multivariate logistic regression analysis was used to estimate the odds ratio of psychiatric symptom on ODD. Results: ODD group had a significant association with internalizing and externalizing problem (p=0.001, p<0.001, respectively). ODD group were more comorbid with anxiety disorder, depressive disorder, attention-deficit/hyperactivity disorder, and conduct disorder. Among psychiatric disorder, generalized anxiety disorder (GAD) (adjusted odds ratio [AOR]=18.620, p<0.001) and conduct disorder (AOR=9.529, p=0.014) were associated with ODD symptom. Conclusion: These findings suggest that children with ODD symptom had significantly higher rates of comorbid psychiatric symptoms. And GAD and conduct disorder are related to ODD symptom.