• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.741-752
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• 2024

Organizations amplify their information security (IS) technical investments as the demand for IS escalates. This research suggests conditions for enhancing insider compliance with IS, focusing on the potential for behavior modification through techno-stress and organizational justice, based on the theory of planned behavior. To test the proposed hypothesis, this study utilized a survey methodology on 383 employees from companies with implemented IS. The test results showed that IS techno-stress (overload and uncertainty) caused by reduced attitudes of employees, and organizational justice increased subjective norms, influencing IS compliance intentions along with self-efficacy. Additionally, organizational justice has been found to alleviate the adverse effects of IS overload and uncertainty on attitudes. The findings are expected to help clarify measures for achieving IS performance within the organization by proposing organizational justice conditions to improve the negative IS environment of the organization.

• Journal of Advanced Navigation Technology
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• v.28 no.4
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• pp.574-581
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• 2024

This study explores the usability of extended reality (XR) content tailored for production process training, with a focus on user experience. Participants engaged with extended reality training modules, and qualitative data was subsequently collected through interviews. These interviews evaluated the hardware, user interface, and overall user satisfaction. The analysis utilized python packages for keyword extraction and word cloud visualization, offering insights into user perceptions. The findings revealed that although the hardware was deemed comfortable, concerns were raised regarding its weight and heat emission. The interactive interface, which relies on hand tracking, encountered issues with recognition rates, leading to suggestions for alternative input methods. Users acknowledged extended reality's potential impact on industries like healthcare and education, sharing both positive and negative views on the technology. This research enhances our understanding of user responses and guides the future enhancement of extended reality content for industrial applications, aiming to improve its quality and practical usability

• Annals of Hepato-Biliary-Pancreatic Surgery
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• v.28 no.3
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• pp.381-387
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• 2024

Backgrounds/Aims: Ambulatory laparoscopic cholecystectomy (LC) is increasingly recognized for its advantages over the inpatient approach, which advantages include cost-effectiveness and faster recovery. However, its acceptance is limited by patient concerns regarding safety, and the potential for postoperative complications. The study aims to compare the operative and postoperative outcomes of ambulatory LC versus inpatient LC, specifically addressing patient hesitations related to early discharge. Methods: In a retrospective analysis, patients who underwent LC were divided into ambulatory or inpatient groups based on American Society of Anesthesiologists (ASA) classification, age, and the availability of postoperative care. Propensity score matching was utilized to ensure comparability between the groups. Data collection focused on demographic information, perioperative data, and postoperative follow-up results to identify the safety of both approaches. Results: The study included a cohort of 220 patients undergoing LC, of which 48 in each group matched post-propensity score matching. The matched analysis indicated that ambulatory LC patients seem to experience shorter operative times and reduced blood loss, but these differences were not statistically significant (35 minutes vs. 46 minutes, p-value = 0.18; and 8.5 mL vs. 23 mL, p-value = 0.14, respectively). There were no significant differences in complication rates or readmission frequencies, compared to the inpatient cohort. Conclusions: Ambulatory LC does not compromise safety or efficacy, compared to traditional inpatient procedures. The findings suggest that ambulatory LC could be more widely adopted, with appropriate patient education and selection criteria, to alleviate concerns and increase patient acceptance.

• Advanced Industrial SCIence
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• v.3 no.3
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• pp.1-7
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• 2024

The purpose of this study is to investigate how supply chain digital transformation affects corporate performance by building supply chain agility and innovation capabilities based on the resource-based view (RBV) theory. The model was verified using structural equation modeling based on a data set of 271 domestic companies, and mediation and moderation analyzes were performed to test the research hypotheses. The study found a positive correlation between supply chain digital transformation and corporate performance that is fully mediated by both supply chain agility and innovation capability, with the potential for the interaction between supply chain agility and innovation capability to have adverse consequences for corporate performance. This study is expected to advance our understanding on the antecedents of corporate performance by integrating supply chain digital transformation and the mediating mechanisms of supply chain agility and innovation capabilities that serve as a conduit between supply chain digital transformation and RBV-based corporate performance.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.241-248
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• 2024

Socially, organizations are required to effectively manage their information resources, both in terms of acquiring information from external sources and safeguarding against potential breaches by insiders. While information security policies and technologies implemented by organizations contribute to achieving internal security, an overly complex or disorganized security structure can create uncertainty among employees. In this study, we identify factors of structural information security (IS)-related uncertainty within organizations and propose that they contribute to non-compliance. We develop a research model and hypotheses based on previous studies on the information security environment and test these hypotheses using structural equation modeling. Our findings indicate that uncertainties related to IS policy, technology, and communication decrease employees' IS role identity and their intention to comply with IS measures. By addressing these uncertainties, organizations can improve their IS environment and work towards achieving there IS goals.

• Journal of Korean Academy of Nursing
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• v.54 no.3
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• pp.311-328
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• 2024

Purpose: In this study a systematic review and meta-analysis investigated the impact of non-pharmacological interventions on major adverse cardiac events (MACE) in patients with coronary artery disease who underwent percutaneous coronary intervention (PCI). Methods: A literature search was performed using PubMed, Cochrane Library, EMBASE, and Cumulative Index to Nursing & Allied Health Literature databases up to November 2023. The risk of bias was assessed using the Cochrane Risk of Bias 2.0 tool. Effect sizes and 95% confidence intervals were calculated using R software (version 4.3.2). Results: Eighteen randomized studies, involving 2,898 participants, were included. Of these, 16 studies with 2,697 participants provided quantitative data. Non-pharmacological interventions (education, exercise, and comprehensive) significantly reduced the risk of angina, heart failure, myocardial infarction, restenosis, cardiovascular-related readmission, and cardiovascular-related death. The subgroup meta-analysis showed that combined interventions were effective in reducing the occurrence of myocardial infarction (MI), and individual and group-based interventions had significant effects on reducing the occurrence of MACE. In interventions lasting seven months or longer, occurrence of decreased by 0.16 times, and mortality related to cardiovascular disease decreased by 0.44 times, showing that interventions lasting seven months or more were more effective in reducing MI and cardiovascular disease-related mortality. Conclusion: Further investigations are required to assess the cost-effectiveness of these interventions in patients undergoing PCI and validate their short- and long-term effects. This systematic review underscores the potential of non-pharmacological interventions in decreasing the incidence of MACE and highlights the importance of continued research in this area (PROSPERO registration number: CRD42023462690).

• Human Ecology Research
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• v.62 no.3
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• pp.441-453
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• 2024

This study aimed to explore the characteristics of early adolescent girls with an over-distorted body image and to examine the influence of peer descriptive norm and peer injunctive norm related to body shape and peer pressure for thinness on social media on body image over-distortion. The participants were 505 female adolescents in the 1st and 2nd grades of middle school. Descriptive statistics, frequency analysis, and binary logistic regression were used to analyze the data with SPSS 26.0. The results were as follows. First, the body image over-distortion group contained more 2nd-grader early adolescent girls than 1st graders and approximately three-quarters of the body image over-distortion group had previously attempted to lose weight. Second, peer pressure for thinness on social media significantly predicted whether early adolescent girls were in the body image over-distortion group compared to the non-distortion group. These outcomes suggest that it is necessary to create a social media culture that encourages early adolescent girls to have a realistic and healthy body shape. The results also highlight the importance of developing social media literacy education programs that inform early adolescents of the potential harm of negative comments on social media, and teach them how to recognize and dismiss indiscriminate and harmful comments and contents on social media.

• Smart Media Journal
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• v.13 no.8
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• pp.26-38
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• 2024

This paper discusses the use of GPT and GPT API for prompt engineering in the development of the interactive smart device lock screen application "Smart Lock," aimed at enhancing literacy among young children and lower-grade elementary and middle school students during critical language development periods. In an era where media usage via smartphones is widespread among children, smartphone-based media is often cited as a primary cause of declining literacy. This study proposes an application that simulates conversations with parents as a tool for improving literacy, providing an environment conducive to literacy enhancement through smartphone use. Generative AI GPT was employed to create literacy-improving problems. Using pre-generated data, situational dialogues with parents were presented, and prompt engineering was utilized to generate questions for the application. The response quality was improved through parameter tuning and function calling processes. This study investigates the potential of literacy improvement education using generative AI through the development process of interactive applications.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.79-87
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• 2024

This study aims to improve communication for people with hearing impairments by developing artificial intelligence models that recognize and classify emotions from voice data. To achieve this, we utilized three major AI models: CNN-Transformer, HuBERT-Transformer, and Wav2Vec 2.0, to analyze users' voices in real-time and classify their emotions. To effectively extract features from voice data, we applied transformation techniques such as Mel-Frequency Cepstral Coefficient (MFCC), aiming to accurately capture the complex characteristics and subtle changes in emotions within the voice. Experimental results showed that the HuBERT-Transformer model demonstrated the highest accuracy, proving the effectiveness of combining pre-trained models and complex learning structures in the field of voice-based emotion recognition. This research presents the potential for advancements in emotion recognition technology using voice data and seeks new ways to improve communication and interaction for individuals with hearing impairments, marking its significance.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1238-1245
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• 2024

The construction industry faces the challenge of providing effective, engaging, and rule-specific safety learning. Traditional methodologies exhibit limited adaptability to technological advancement and struggle to deliver optimal learning experiences. Recently, there has been widespread adoption of information retrieval and ontology-based chatbots, as well as content delivery methods, for safety learning and education. However, existing information and content retrieval methods often struggle with accessing and presenting relevant safety learning materials efficiently. Additionally, the rigid and complex structures of ontology-based approaches pose obstacles in accommodating dynamic content and scaling for large datasets. They require more computational resources for ontology management. To address these limitations, this paper introduces iSafe Chatbot, a novel framework for construction safety learning. Leveraging Natural Language Processing (NLP) and Large Language Model (LLM), iSafe Chatbot aids safety learning by dynamically retrieving and interpreting relevant Occupational Safety and Health Administration (OSHA) rules from the comprehensive safety regulation database. When a user submits a query, iSafe Chatbot identifies relevant regulations and employs LLM techniques to provide clear explanations with practical examples. Furthermore, based on the user's query and context, iSafe Chatbot recommends training video content from video database, enhancing comprehension and engagement. Through advanced NLP, LLM, and video content delivery, iSafe Chatbot promises to revolutionize safety learning in construction, providing an effective, engaging, and rule-specific experience. Preliminary tests have demonstrated the potential of the iSafe Chatbot. This framework addresses challenges in accessing safety materials and aims to enhance knowledge and adherence to safety protocols within the industry.