• Korean Public Health Research
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• v.44 no.4
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• pp.1-13
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• 2018

Purpose : The purpose of this study was to explore the subjective experiences of problem drinkers participating in the early intervention program for moderate alcohol drinking. Methods : A qualitative descriptive study design was used. Data were collected through individual interviews with thirteen problem drinkers and analyzed using qualitative content analysis. Results : The experiences of the problem drinkers participating in the early intervention program were derived from four themes and nine sub-themes in terms of awareness, alcohol expectancies, perceived self-efficacy and behavioral change. They participated in programs offered in the workplace, and there were differences in motivation level among individuals, but generally accepted the necessity of the program. Participants who had trust with the program provider were more likely to change drinking behavior. Conclusion : Problem drinkers who participated in the early intervention program showed that it is a useful approach to change the problem drinking behavior by promoting awareness of alcohol-related knowledge, motivation for change through acquiring enough information and acquisition of self-efficacy as a behavior skill. These findings can be used as basic information for implementing and adapting early intervention for prevention of alcoholism in primary health care setting including workplace.

• The Journal of Information Systems
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• v.28 no.1
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• pp.41-72
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• 2019

Purpose Virtual communities (VCs) are becoming ever more important in these days, sometimes more than offline communities. Notably, they have become significant sources of knowledge sharing. Therefore, in order to foster a VC, it is very important to understand why people share their knowledge in the VC. Under this background, this paper aims at proposing the behavioral model best explains knowledge sharing activities in VCs. Design/methodology/approach We basically design our behavioral model for knowledge sharing in VCs based on theory of reasoned action (TRA). However, to understand knowledge sharing in VCs better, we specify knowledge sharing by dividing it into knowledge contribution and knowledge use. Also, instead of 'subjective norm', we adopt 'sense of virtual community (SOVC)' as a main social factor, which has been found to be important in the literature. We also include the antecedents such as 'quality of the shared knowledge', 'trust in community members', 'passion of the community leader', 'reciprocity', and 'self efficacy', which affect VC users' attitude towards knowledge sharing and SOVC. To test the hypotheses in our proposed model, we collected 253 valid surveys from the VC users. Structural equation modeling (SEM) using AMOS 23 is employed to assess the relationships proposed as the hypotheses. Findings Major findings are as follows. SOVC positively affects both intention to contribute knowledge and intention to use knowledge. And, trust in community members positively affects the attitude towards knowledge use and SOVC. The attitude towards knowledge use is also affected by the quality of the shared knowledge. Reciprocity is found to strongly positively affect the attitude towards knowledge contribution. However, passion of the community leader and self efficacy are found to have insignificant effect on SOVC and the attitude towards knowledge contribution respectively. Our study sheds a light on how to foster VCs from the perspective of knowledge management.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.3
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• pp.39-52
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• 2020

Objective : The purpose of this study was to investigate the effect of parent education on feeding problems in children with autism spectrum disorder. Method : Articles published between 2000 and May 2019 were identified through a database search of Cochrane Library, Embase, Ovid-Medline, and PubMed as well as through additional manual searches. A total of six articles were selected and qualitatively analyzed according to the level of evidence of the study and arranged according to PICO (Patient, Intervention, Comparison, Outcome). Results : Six articles were used for the data analysis; four articles were at evidence level 1 and two articles were at evidence level 3. Behavioral therapy was the most common interventional approach to parent education, and all of the articles based on behavioral therapy had evidence level 1. Conclusion : This study examines the various ways of parenting to help families with autism spectrum children with feeding problems in order to find directions for parent education that can be applied in clinical practice.

• Journal of Ginseng Research
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• v.45 no.2
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• pp.254-263
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• 2021

Background: A chronic social defeat stress (CSDS) model has been proposed as relevant to stress-induced behavioral change in humans. In this study, we examined the effect of Korean Red Ginseng (KRG) on CSDS-induced mood disorders and protein expression in an animal model. Methods: To evaluate the effect of KRG on social defeat stress, test mice were exposed in the resident aggressor's home cage compartment for 14 days beginning 1 h after KRG treatment (10, 20, and 40 mg/kg, per oral (p.o.)). After the exposure, behavioral tests to measure anxiety, social interaction, and depression-like behavior were performed. To investigate the underlying mechanism, N-methyl-D-aspartate receptor expression levels in CSDS-induced mice were evaluated using Western blot analysis. Results: CSDS induced anxiety-like behaviors by decreasing central activity in the open-field test and open-arm approach in the elevated plus maze test and led to social avoidance behavior in the social interaction test. CSDS mice showed upregulated NR1, NR2A, and NR2B expression in the hippocampus. KRG 20 and 40 mg/kg ameliorated anxiety-like activities and KRG 20 mg/kg alleviated social avoidance by decreasing time in the corner zone. KRG treatment recovered CSDS-induced NR1, NR2A, and NR2B protein levels in the hippocampus. Conclusion: These results indicate that KRG has a therapeutic effect on CSDS-induced mood disorder by alleviating N-methyl-D-aspartate receptor overexpression in the hippocampus.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.245-259
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• 2022

Purpose - Studies have been continuously carried out by researchers so far to clarify the factors influencing employee's incivility at work. However, the behavior of employees who are the target of incivility not much has been revealed which behavior affects the experience of incivility. Among them, it is interesting that the effect of OCB, a representative of employees' positive behavior in the workplace, on their experienced incivility has not been investigated. Therefore, this study attempted to clarify the relationship between OCB and experienced incivility that previous studies have not yet discovered. Design/methodology/approach - In the process, the concept of profile similarity was introduced and based on this, it was assumed that the OCB profile similarity between individual and colleagues, not the absolute level of OCB, would affect the experienced incivility and demonstrated this. The analysis was conducted by applying the survey data obtained from 205 employees to hierarchical regression analysis. Findings - As a result of the analysis, it was examined that the absolute OCB value used in previous studies did not significantly affect the experienced incivility, but the higher the similarity level, the less experienced incivility. The implications obtained based on this and future research directions are discussed together in the conclusion. Research implications or Originality - This study is the first one that considers OCB's profile similarity as a antecedent of experienced incivility. OCB profile similarity concept was only treated as a theoretical issue even in very early stage of OCB research stream, but this study examines the significant effect of OCB profile similarity. Moreover, behavioral antecedents of experienced incivility has not been identified well, but this study finds out that OCB can be a behavioral antecedent of experienced incivility.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.83-92
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• 2021

There are continuous and tremendous attempts to apply various sensor systems and ICTs into the dairy science for data accumulation and improvement of dairy productivity. However, these only concerns the fields which directly affect to the dairy productivity such as the number of individuals and the milk production amount, while researches on the physiology aspects of dairy cows are not enough which are fundamentally involved in the dairy productivity. This paper proposes the basic approach for extraction of daily behavior pattern from hourly behavioral data of dairy cows to identify the health status and stress. Total four clusters were grouped by k-means clustering and the reasonability was proved by visualization of the data in each groups and the representatives of each groups. We hope that provided results should lead to the further researches on catching abnormalities and disease signs of dairy cows.

• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.169-178
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• 2010

Agent based simulation is an approach for the analysis of a system's long term behavior where the entities in the system behave independently by their own judgement and memory, but influence each other to cope with given environment. In this paper we developed an agent based simulation model for the analysis of behavioral mechanism of team formation. In the process of team formation members' mutual preference is an important factor although each member can join up with one's own will. Also a team performance can vary by the member's own experience. We implemented the developed model using Netlogo 4.1, and verified the model by simulation. From the simulation results we found that the model successfully performed necessary functions using behavioral rules, judgments, and evolutionary processes by memory. As a further study we will be able to apply the model for analyzing various ecological behavior of team formation.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.21-32
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• 2023

The design of complex man-made systems mostly involves a conceptual modeling phase; therefore, it is important to ensure an appropriate analysis method for these models. A key concept for such analysis is the development of a diagramming technique (e.g., UML) because diagrams can describe entities and processes and emphasize important aspects of the systems being described. The analysis also includes an examination of ontological concepts such as states and events, which are used as a basis for the modeling process. Studying fundamental concepts allows us to understand more deeply the relationship between these concepts and modeling frameworks. In this paper, we critically analyze the classic definition of a state utilizing the Thinging machine (TM) model. States in state machine diagrams are considered the appropriate basis for modeling system behavioral aspects. Despite its wide application in hardware design, the integration of a state machine model into a software system's modeling requirements increased the difficulty of graphical representation (e.g., integration between structural and behavioral diagrams). To understand such a problem, in this paper, we project (create an equivalent representation of) states in TM machines. As a case study, we re-modeled a state machine of an assembly line system in a TM. Additionally, we added possible triggers (transitions) of the given states to the TM representation. The outcome is a complicated picture of assembly line behavior. Therefore, as an alternative solution, we re-modeled the assembly line based solely on the TM. This new model presents a clear contrast between state-based modeling of assembly line behavior and the TM approach. The TM modeling seems more systematic than its counterpart, the state machine, and its notions are well defined. In a TM, states are just compound events. A model of a more complex system than the one in the assembly line has strengthened such a conclusion.

• Anxiety and mood
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• v.19 no.2
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• pp.37-47
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• 2023

This review article explores the psychological characteristics, comorbid mental disorders, and psychosocial assessments throughout the solid organ transplant journey, spanning the pre-transplant, peri-transplant, and post-transplant phases for transplant recipients. The psychological burden and anxiety in the pre-transplant phase are high for organ failure patients with complex physical difficulties who are deciding to undergo transplantation and are on the waiting list. The pre-transplant psychosocial evaluation covers various aspects, including the patient's readiness, awareness of, and commitment to transplant treatment, medical compliance, psychopathological conditions such as cognitive function and personality disorders, lifestyle factors, including substance abuse, as well as various psychosocial factors like social support. During the peri-transplant phase, mental health problems such as postoperative delirium should be carefully recognized and addressed. After transplantation, it is essential to assist patients in coping with the various stressful experiences they encounter, manage psychiatric symptoms such as depression, anxiety, and insomnia, and improve treatment adherence and quality of life during long-term care for the transplanted organ. Managing psychiatric problems in post-transplant patients requires a deep understanding of immunosuppressant medications and a keen awareness of associated risks, including adverse effects and potential drug interactions. This comprehensive review emphasizes the significance of proactive mental health care and psychosocial evaluation, highlighting the necessity of a multidisciplinary approach to enhance the quality of life and overall success of transplant patients throughout all phases of transplantation.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.137-142
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• 2024

User interface (UI) functions are distorted and appear as a dark pattern that intentionally deceives or entices users. Consumers who are unaware of dark patterns are constrained in their choices, resulting in unnecessary economic damage. In this study, we aimed to investigate consumers' various shopping emotions and behavioral intentions after recognizing dark patterns in online shopping malls through qualitative research methods. As a result of the study, the rate of perception differed slightly depending on the type of dark pattern, and it was found that it induced consumer emotions such as distrust of the company, user deception, and displeasure. It has been found that the behavior after recognizing the dark pattern shows passive behaviors such as vowing to prevent recurrence and warning acquaintances rather than actively protesting to the company and demanding compensation for damages.