Purpose: This study aimed to develop a case-based nursing education program using generative artificial intelligence and to assess its usability and applicability in nursing curriculums.Methods: The program was developed by following the five steps of the ADDIE model: analysis, design, development, implementation, and evaluation. A panel of five nursing professors served as experts to implement and evaluate the program.Results: Utilizing ChatGPT, six program modules were designed and developed based on experiential learning theory. The experts’ evaluations confirmed that the program was suitable for case-based learning, highly usable, and applicable to nursing education.Conclusion: Generative artificial intelligence was identified as a valuable tool for enhancing the effectiveness of case-based learning. This study provides insights and future directions for integrating generative artificial intelligence into nursing education. Further research should be attempted to implement and evaluate this program with nursing students.

A combined process consisting of Moving-Bed Biofilm Reactors (MBBRs) with Polyurethane-Dyeing Sludge Carbonaceous Material (PU-DSCM) foam and chemical coagulation was investigated for dyeing wastewater treatment. The pilot-scale MBBR system was composed of two aerobic MBBRs in series. Each reactor was filled with 20% (v/v) of Polyurethane-Dye Sludge Carbonaceous Material foam (PU-DSCM foam) inoculated with a white-rot fungus, Phanerochaete chrysosporium, for biological treatment followed by chemical coagulation with FeCl₂ or alum. In the MBBR process, 79% of COD and 54% of color (influent COD = 539 mg/L and color = 622 PtCo units) were removed at MLSS concentration of 2900 mg/L attached to the PU-DSCM carrier and 48 hr of short Hydraulic Retention Time (HRT) at steady state. The biologically treated dyeing wastewater was subjected to chemical coagulation. After coagulation with alum at the optimum dosage (1.55 mg alum/mg COD), 95.7% of COD and 73.4% of color were removed in overall. The combined process of fungal MBBRs and chemical coagulation has promising potential for dyeing wastewater treatment.

This study aims to explore the relationships between gestational diabetes mellitus (GDM) related breastfeeding knowledge, GDM-related breastfeeding health beliefs, and breastfeeding intention. It investigates the factors influencing breastfeeding intention among pregnant women in Nepal. A total of 229 healthy pregnant women visiting an antenatal clinic in Nepal participated in this study between January and March, 2023. They completed a questionnaire that assessed their GDM-related breastfeeding knowledge, GDM-related breastfeeding health beliefs, and breastfeeding intention. The data were analyzed using descriptive statistics, an independent t-test, one-way ANOVA including Scheffé's post-hoc test, and logistic regression analysis. Of the participants, 86.9% (n=199) indicated positive breastfeeding intention, even with a relatively low level of GDM-related breastfeeding knowledge. Logistic regression analysis of the factors influencing breastfeeding intention yielded a significant model (χ²=38.80, p<.001) with significant variables; GDM-related breastfeeding knowledge (OR: 1.0, 95% CI: 1.02-1.40), GDM-related breastfeeding health beliefs (OR: 1.09, 95% CI: 1.04-1.15), and immediate family experience with diabetes mellitus (OR: 5.38, 95% CI: 1.98-14.62). Nurses should lead interventions to educate pregnant women about the benefits of breastfeeding that can help in mitigating the long-term effects of GDM and reinforce health beliefs through positive experiences. This study provides information demonstrating the need for nurse-led improvements in Nepal's GDM management system, from screening to comprehensive care.

Objectives: The aims of the study were to identify the systemic factors affecting the characteristics and safety of older adults living in nursing homes and the resulting resident outcomes and to explore the relationship between them through an integrated literature review. Methods: A literature search was conducted from April 22 to May 6, 2021, in the PubMed, Embase, Cochrane CENTRAL, CIHNAL, RISS, NDL, and KoreaMed databases. The following key words and MeSH terms were used for the search: “nursing home,” “skilled nursing facility,” “long-term care facility,” and “patient safety” or “safety.” Results: Forty-seven qualifying articles were finally selected. Three domains were derived as personal factors, 12 as facility factors, and one as a policy factor. The interrelationships between them could result in positive or negative resident outcomes. The relationship between them was also reconstructed from an ecological perspective. Conclusions: The results demonstrated that the safety and quality of life of older adults living in nursing homes were affected by both individual and institutional factors.

Purpose : Research has shown that breastfeeding knowledge related to gestational diabetes mellitus (GDM) and GDM-related breastfeeding health beliefs affect breastfeeding intention. However, research has been limited on the effects of pregnant women’s GDM-related breastfeeding knowledge and GDM-related breastfeeding health beliefs on breastfeeding intentions. Therefore, this study aimed to examine the effect of GDM-related breastfeeding knowledge and GDM-related breastfeeding health beliefs on breastfeeding intention. Methods : A total of 229 healthy pregnant women visiting an antenatal clinic in Nepal participated in this study between January and March 2023. They completed a questionnaire that assessed their GDM-related breastfeeding knowledge, GDM-related breastfeeding health beliefs, and breastfeeding intention. The data were analyzed using descriptive statistics, independent t-tests, one-way analysis of variance, Scheffé’s post-hoc test, and logistic regression analysis. Results : Of the participants, 86.9% (n = 199) indicated their breastfeeding intention, even with a relatively low level of GDM-related breastfeeding knowledge. Logistic regression analysis of the factors influencing breastfeeding intention yielded a significant model (χ² = 38.80, p < .001) with significant variables. GDM-related breastfeeding knowledge (OR: 1.0, 95% CI: 1.02-1.40), GDM-related breastfeeding health beliefs (OR: 1.09, 95% CI: 1.04-1.15), and immediate family history of diabetes mellitus (OR: 5.38, 95% CI: 1.98-14.620) were found to affect breastfeeding intentions. Conclusion : Efficient interventions regarding breastfeeding for pregnant women should be implemented. They should provide sufficient information on the benefits of breastfeeding to prevent the long-term influence of GDM and strategies reinforcing GDM-related breastfeeding health beliefs through positive breastfeeding experiences.

Purpose: This study aimed to identify the effects of fatigue and emotional labor on the quality of sleep among apartment security guards. Methods: A total of 196 apartment security guards working in 10 different regions participated in the study between July and October 2022, completing questionnaire assessing fatigue (physical imbalance, exhaustion, mental fatigue, and nervous system disfunction), emotional labor, and sleep quality. Data were analyzed using descriptive statistics, independent t-test, Mann-Whitney U test, ANOVA including Scheffe’s post hoc, and regression analysis. Results: 183(93.4%) participants were poor sleeper. Regression analysis of the factors influencing sleep quality yielded a significant model (F= 21.56, p<.001) with an explanatory power of 25.0% in the order of fatigue(exhaustion) (β=.28, p<.001), emotional labor (β=.27, p<.001), and subjective economic status (β=.15, p=.017). Conclusion: It is essential to develop nursing educational programs that reduce exhaustion and emotional labor for improving the quality of sleep.