• Journal of Digital Convergence
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• v.18 no.12
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• pp.69-79
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• 2020

This study is to explore factors to consider for effective operation of synchronous online education in college. Synchronous online education is expanding in higher education. However, there is insufficient to comprehensively identify key components based on the learners' experience and perception. Using qualitative analysis on content of group interview and multidimensional scale analysis, the experience and perception of learners were identified. For the effective operation, interaction should be considered important, and rapport between learners needs to be built. In addition to improving the system in which activity tools are integrated, instructors should play mainly facilitator role, and learners have to manage the environment for immersion. For the types of online education, learners were divided into the dimension of 'activity' and 'temporality'. Further, it is to develop optimized design strategies considering its characteristics.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.19-34
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• 2021

The aim of this study is verifying the effects of chatbot's error types and structures of error message on attitude, behavior intention towards the chatbot and perceived usability of the chatbot. The error types of chatbot are divided into 'experience' error and 'agency' error, which set different expectancy level, according to mind perception theory. The structures of error message were either unstructured condition composed of error specification only or structured condition composed of apology, explanation and willingness of improvement. It was found that score of perceived usability was higher in experience error condition than agency error condition. Also, all three scores of dependent variables were higher in structured error message condition than unstructured error message condition. Furthermore, expectation gap of experience didn't predict the dependent variables but expectation gap of agency predicted all three dependent variables. Finally, the tendency of interaction effect between the error type and the structure of the error message on expectation gap of agency was observed. This study confirmed the mitigating effect of structured error messages and the possibility that these effects may vary by the type of error. The result is expected to be applicable to design of error coping strategies that enhance user experience.

• Journal of Korean Academy of Nursing
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• v.51 no.3
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• pp.265-279
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• 2021

Purpose: This study examined the impact of a drinking reduction program on drinking motivation, drinking refusal self-efficacy, and problematic drinking behaviors in college students with problematic drinking habits. Methods: This study incorporated a non-equivalent control group prepost-test design. Study participants included 58 college students who scored 12 or more in the AUDIT-K test (Alcohol Use Disorders Identification Test-Korean version) (experimental group: 30; control group: 28). The intervention consisted of eight sessions and was conducted once a week. It was designed to promote autonomy, competence, and relatedness-the three elements of basic psychological needs in self-determination theory. The participants were assessed before the intervention, immediately after, and four weeks post intervention. Data were collected from October 12 to December 31, 2017. The analysis employed the chi-square test, Fisher's exact test, independent t-test, and repeated measures ANOVA using SPSS/WIN 22.0. Results: The mean age of participants was 21.8 years. There were 30 men (51.7%) and 28 women (48.3%). The differences in drinking motivation, drinking refusal self-efficacy, and problematic drinking behaviors were statistically significant for the group by time interaction (F = 42.56, p < .001; F = 54.96, p < .001; F = 39.90, p < .001, respectively). Conclusion: The findings indicate that the intervention effectively decreases drinking motivation, increases drinking refusal self-efficacy, and decreases problematic drinking behaviors. It can be an efficient strategy for college students with problematic drinking habits to enhance their self-determination ability.

• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.81-98
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• 2020

Purpose - This study aims to examine the relationship between Chinese employees' collectivism orientation and organizational commitment and interpersonal helping behavior and verify the differences of such relationships between new and the previous generation of employees. Design/methodology/approach - The 262 Chinese employees participated in self-reported survey through online platform. The confirmatory factor analysis and the hierarchical regression analysis were performed to test hypotheses. Findings - We found that Chinese employees' collectivism orientation positively influenced their organizational commitment and interpersonal helping behavior. Regarding the moderating role of generation, our result revealed that while the positive relationship between collectivism orientation and organizational commitment was significant for previous generation of employees, such relationship was not valid for new generation employees. However, there was no significant generational difference in the relationship between collectivism orientation and interpersonal helping behavior. Research implications or Originality - Considering that there have been relatively few empirical studies examining the interaction between employees' cultural characteristic and generations, this study contributes to demonstrate that the positive influence of Chinese employees' collectivism orientation on organizational commitment vary depending on Chinese generations. In addition, this study provides implications that organizational leaders in China should understand that the generational difference can influence how employees' collectivism orientation leads to their attitudes towards organizations and need to establish human resource management system by reflecting generational difference.

• Asian Journal of Business Environment
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• v.11 no.2
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• pp.5-13
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• 2021

Purpose: This paper aims to study the fishing capacity of the shrimp trawlers in the Aru and Arafura Sea. Research design, data and Methodology: The abundant shrimp resources call for its sustainable use to advance economic activity. Time-series data of effort and catch from shrimp trawlers from 1980-2015 were utilized. The technical efficiencies of the vessels and the target capacity of the shrimp fishery were estimated using Peak to Peak Method. Results: Arafura's shrimp fishery presents high technical efficiency, which is suggested by the high scores of its fishing capacity utilization. The issuance of a ministerial decree on the prohibition of the use of trawls has impacted the plummeting of Arafura's shrimp trawler production right after the regulation implemented in 2015, which is far below the total production of the Arafura's shrimp trawler in 1980. Today, the Aru and Arafura Sea has different sets of fishing gears that are dominated by Squid Jigging and gillnet vessels. Conclusions: Arafura shrimp fishery performs high technical efficiency, which is indicated by the high utilization value of its catching capacity ranging from 71% to 100% annually from 1980 to 2015 This has shown that the resource-utilization has shifted from shrimps to other economically important species during the post trawl ban such as squid and pelagic. Any future intention to utilize shrimp resources, interaction of gears harvesting shrimp with current gears should be well considered in the policy making process.

• The Korean Journal of Pain
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• v.34 no.2
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• pp.139-155
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• 2021

The quality of subgroup analyses (SGAs) in chronic non-cancer pain trials is uncertain. The purpose of this study was to address this issue. We conducted a comprehensive search in MEDLINE and EMBASE from January 2012 to September 2018 to identify eligible trials. Two pairs of reviewers assessed the quality of the SGAs and the credibility of subgroup claims using the 10 criteria developed by Sun et al. in 2012. The associations between the quality of the SGAs and the studies' characteristics including risk of bias, funding sources, sample size, and the latest impact factor, were assessed using multivariable logistic regression. Our search retrieved 3,401 articles of which 66 were eligible. The total number of SGAs was 177 of which 52 (29.4%) made a subgroup claim. Of these, only 15 (8.5%) were evaluated as being of high quality. Among the 30 SGAs that claimed subgroup effects using an appropriate method of performing interaction tests, the credibility of only 5 were assessed as high. None of the subgroup claims met all the credibility criteria. No significant association was found between the quality of SGAs and the studies' characteristics. The quality of the SGAs performed in chronic pain trials was poor. To enhance the quality of SGAs, scholars should consider the developed criteria when designing and conducting trials, particularly those which need to be specified a priori.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.623-631
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• 2020

In the era of COVID-19 global pandemic, e-learning has become new standards and daily life in the name of 'new normal'. This study developed dialogue e-learning contents as opposed to monologue e-learning which is unidirectional and instructor centered and conducted qualitative user experience evaluation of dialogue e-learning contents. A total number of 20 adult students participated and were individually interviewed. Qualitative data analysis was performed. The findings include students' positive perceptions of dialogue e-learning contents such as empathy for various ideas and new format. With regard to personal preference, 55% of participants preferred dialogue e-learning contents because it enables them to focus and share real experiences. Meanwhile, in terms of learning effects, 60% participants selected monologue e-learning contents and mentioned adequate explanations of concepts and explicit information delivery. Based on the results, suggestions on the design and development of dialogue e-learning contents were presented.

• Journal of Korea Game Society
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• v.21 no.1
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• pp.43-54
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• 2021

This study deals with the changes in negative emotions a player feels upon defeat according to the intensity of randomness. By changing the interface related to randomness, we checked how the interaction between the user and the game affects the user's experience. The subjects of this study were 30 students of the Dept. of Game Engineering. The research tool used randomness and negative emotion measurement tools. For the experiment, a board game called "12Janggi" was used, and randomness was added to the 'board' and 'piece' of the game. The analysis shows that proper randomness reduces negative emotions, but excessive randomness increases negative emotions. Although randomness can reduce the negative emotion of defeat, it can be seen that it should be applied to the context of the game.

• Journal of Microbiology and Biotechnology
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• v.32 no.3
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• pp.365-377
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• 2022

Mammalian target of rapamycin (mTOR) is a serine-threonine kinase member of the cellular phosphatidylinositol 3-kinase (PI3K) pathway, which is involved in multiple biological functions by transcriptional and translational control. mTOR is a downstream mediator in the PI3K/Akt signaling pathway and plays a critical role in cell survival. In cancer, this pathway can be activated by membrane receptors, including the HER (or ErbB) family of growth factor receptors, the insulin-like growth factor receptor, and the estrogen receptor. In the present work, we congregated an electronic network of mTORC1 built on an assembly of data using natural language processing, consisting of 470 edges (activations/interactions and/or inhibitions) and 206 nodes representing genes/proteins, using the Cytoscape 3.6.0 editor and its plugins for analysis. The experimental design included the extraction of gene expression data related to five distinct types of cancers, namely, pancreatic ductal adenocarcinoma, hepatic cirrhosis, cervical cancer, glioblastoma, and anaplastic thyroid cancer from Gene Expression Omnibus (NCBI GEO) followed by pre-processing and normalization of the data using R & Bioconductor. ExprEssence plugin was used for network condensation to identify differentially expressed genes across the gene expression samples. Gene Ontology (GO) analysis was performed to find out the over-represented GO terms in the network. In addition, pathway enrichment and functional module analysis of the protein-protein interaction (PPI) network were also conducted. Our results indicated NOTCH1, NOTCH3, FLCN, SOD1, SOD2, NF1, and TLR4 as upregulated proteins in different cancer types highlighting their role in cancer progression. The MCODE analysis identified gene clusters for each cancer type with MYC, PCNA, PARP1, IDH1, FGF10, PTEN, and CCND1 as hub genes with high connectivity. MYC for cervical cancer, IDH1 for hepatic cirrhosis, MGMT for glioblastoma and CCND1 for anaplastic thyroid cancer were identified as genes with prognostic importance using survival analysis.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.126-132
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• 2022

At present, due to the rapid spread of smartphones and activation of IoT, malicious codes are disseminated using SNS, or intelligent intrusions such as intelligent APT and ransomware are in progress. The damage caused by the intelligent intrusion is also becoming more consequential, threatening, and emergent than the previous intrusion. Therefore, in this paper, we propose an intelligent intrusion situation-aware reasoning system to detect transgression behavior made by such intelligent malicious code. The proposed system was used to detect and respond to various intelligent intrusions at an early stage. The anticipated system is composed of an event monitor, event manager, situation manager, response manager, and database, and through close interaction between each component, it identifies the previously recognized intrusive behavior and learns about the new invasive activities. It was detected through the function to improve the performance of the inference device. In addition, it was found that the proposed system detects and responds to intelligent intrusions through the state of detecting ransomware, which is an intelligent intrusion type.