Purpose This study aimed to develop and evaluate a simulation-based autotransfusion device training program to enhance the clinical performance, performance confidence, and educational satisfaction of post-anesthesia care unit (PACU) nurses. Methods: A single-group pretestposttest study was conducted with 30 PACU nurses. The program, based on the ADDIE model, included orientation, simulation training, and debriefing. Data were collected using validated tools before and after the program and analyzed using the Wilcoxon signed-rank test. Results: Clinical performance improved from a median of 30.00 to 43.00 (Z =−4.78, p < .001). Performance confidence increased from 31.00 to 47.50 (Z =−4.71, p < .001), while educational satisfaction rose from 26.00 to 40.00 (Z =−4.73, p < .001). Conclusions: The simulation-based program effectively enhanced the clinical performance, performance confidence, and education satisfaction of PACU nurses. These findings underscore the value of simulation-based training for enhancing nurses’ competence in using complex, high-risk medical devices.

This study aimed to evaluate the effect of key operational factors on traffic performance in long underground expressways. This study was motivated by the increasing policy interest in underground expressway infrastructure as a solution to chronic surface-level congestion in dense urban regions. A scenario-based microscopic traffic simulation was conducted using VISSIM considering combinations of traffic volume, proportion of heavy vehicles, and longitudinal slopes. A total of 72 scenarios were simulated, and the weighted average speed and total throughput were analyzed. The simulation results showed that the entry traffic volume and longitudinal gradient significantly affected the average speed, particularly in uphill exit segments. The heavy vehicle ratio also contributed to consistent reductions in speed. However, the overall throughput remained relatively stable despite variations in heavy vehicle proportions, suggesting that speed is more sensitive to flow composition than to volume capacity. Although interaction effects were not statistically tested, the combined scenario trends suggested that steeper slopes and high heavy-vehicle ratios jointly intensify speed reduction. These findings support the early-stage design and traffic planning of underground expressways.

Purpose: This study evaluated the impact of a nursing simulation learning module for caring for patients with chronic obstructive pulmonary disease (COPD) on nursing knowledge, clinical competence, team psychological safety, and learning satisfaction among nursing students. Methods: A non-equivalent control-group pretest–posttest quasi-experimental design was used with 36 students (18 per group) assigned to either a simulation group or a lecture group. Data collected from June 8 to July 13, 2024, were analyzed using SPSS 27.0. Results: Nursing knowledge showed no significant between-group difference (F=1.32, p=.260) but improved over time (F=8.24, p=.007). Clinical competence showed a significant group-by-time interaction (F=58.33, p<.001). Team psychological safety (t=2.70, p=.012) and learning satisfaction (t=2.27, p=.030) were higher in the simulation group. Conclusion: These findings provide foundational data for developing simulation-based educational strategies in nursing curricula. The module may also be applied to the training of novice nurses in clinical settings, thereby contributing to enhanced nursing education and improved clinical practice.

In this study, the effects of a hypothetical autonomous vehicle (AV)-exclusive roadway were estimated through a step-by-step approach using both microscopic and macroscopic simulations. First, the AV-exclusive roadway was classified into four types—entry lanes, mainlines, merging lanes, and intersections—and the C, α, and β values of the Bureau of Public Roads (BPR) function were estimated for each type through a microscopic simulation. These estimated values were then applied to a 3×3 (20 km) network, and a macroscopic simulation was conducted to compare the effectiveness of AVs and conventional vehicles (CVs) in terms of traffic volume and travel time.The analysis showed that for the same travel time, the traffic volume increased by more than 12% with AVs compared to that with CVs. Conversely, for the same traffic volume, the total travel time decreased by 11% for AVs. The estimated capacity of the AV-exclusive roadway, similar to the U-Smartway with a size of 3×3 (20 km), was approximately 400,000 vehicles, which was more than 140% higher than that of CVs. Assuming that each AV carries five passengers, up to two million people can be transported per day, indicating a significant potential benefit. However, these results were based on theoretical analyses using hypothetical networks under various assumptions. Future studies should incorporate more realistic conditions to further refine these estimations.

Purpose: This study aimed to evaluate the effects of simulation education in patient safety nursing on nursing students’ attitudes toward patient safety, confidence in patient safety, academic self-efficacy, and academic engagement. Methods: The study was conducted from April to May 2022 with 69 nursing students enrolled in a fundamental nursing practice course. Two simulation scenarios were developed to enhance the patient safety competencies. Each scenario was implemented in two sessions, each lasting 90 minutes. Data were collected using self-report questionnaires, which measured attitudes toward patient safety, confidence in patient safety, academic self-efficacy, and academic engagement before and after the simulation education. Data were analyzed by employing descriptive statistics and paired t-tests using SPSS Statistics Version 26.0. Results: After participating in the simulation program, students showed statistically significant improvements in their attitudes toward patient safety (t=9.11, p<.001), confidence in patient safety (t=15.66, p<.001), academic self-efficacy (t=6.03, p<.001), and academic engagement (t=9.28, p<.001). Conclusion: The findings suggest that simulation education in patient safety nursing is an effective nursing education strategy. The study highlights the need to develop and expand diverse simulation-based learning programs in nursing education.

Purpose: This study aimed to develop and implement a multi-patient simulation (MPS) program for nursing students with no prior clinical practice experience. It also examined the effects of the program on the students’ communication competence and clinical reasoning ability. Methods: A one-group pretest-posttest design was used. The MPS program, consisting of four patient scenarios was applied to second-year nursing students with no prior clinical practice experience. Communication competence, clinical reasoning ability, and the perceived effectiveness of the multi-patient simulation program were measured using structured tools before and after the program. Results: Communication competence significantly improved after the MPS program, whereas clinical reasoning did not show a statistically significant difference. Perceived effectiveness of the MPS program was generally high, with the debriefing component scoring the highest. Confidence scores were relatively low, suggesting the need for level-appropriate scenario. Conclusion: The MPS program was effectively enhanced communication competence among preclinical nursing students. Although clinical reasoning scores did not improve significantly, the study highlights the importance of introducing realistic simulation experiences early in nursing education. Future research should focus on developing suitable clinical reasoning assessment tools for early year students and conducting randomized controlled trials to validate the effectiveness of customized MPS programs.

Purpose: This study aimed to develop and evaluate a simulation-based nursing education program for respiratory emergencies in critically ill, extremely low birth weight infants (ELBWIs). Methods: A single-arm quasi-experimental study was conducted with 32 neonatal intensive care unit (NICU) nurses. The program was developed systematically using the ADDIE model, incorporating needs assessment, real-case scenario development, and pilot testing. Data were collected before and after the intervention and were analyzed using paired and independent t-tests, as well as a one-way analysis of variance (ANOVA) with Scheffé post-hoc tests. Results: The results showed statistically significant improvements in participants’ problemsolving ability (t = -3.49, p = .001), clinical performance confidence (t = -4.64, p < .001), and overall clinical performance competency (t = -13.79, p < .001) following the training. The clinical relevance and feasibility of the program were supported by pilot testing and positive evaluations of the practicality and educational usefulness of the simulation scenarios. Conclusion: These findings suggest that the simulation-based program was effective in enhancing NICU nurses’ clinical competence in managing respiratory emergencies in ELBWIs and can be used as a practical alternative to traditional on-the-job training.

Purpose: This study was conducted to confirm the effects of patient safety simulation education on nursing students’s attitude of patient safety, confidence in performance of patient safety, confidence in performance multidrug-resistant bacterial infection control, and nursing professionalism. Methods: In this study, 89 students from the 4th grade of the nursing department at one university participated, and the data collection period was from August 20 to August 30, 2023. The collected data were analyzed using R 4.3.2 version and by descriptive statistics, independent t-test, Pearson’s correlation coefficients. Results: After education, the subjects' nursing professionalism(t=-5.95, p<.001), attitude of patient safety(t=-3.59, p<.001), confidence in performance of patient safety(t=-3.90, p<.001), and confidence in performance multidrugresistant bacterial infection control(t=-5.55, p<.001) increased statistically significantly. After education, there was a positive correlation between nursing professionalism, attitude of patient safety(r=.43, p<.001), confidence in performance of patient safety(r=.64, p<.001), confidence in performance multidrug-resistant bacterial infection control(r=.41, p=<.001). The relationship between attitude of patient safety, confidence in performance of patient safety(r=.47, p<.001), confidence in performance multidrug-resistant bacterial infection control(r=.37, p=<.001) showed a positive correlation. Confidence in performance of patient safety, confidence in performance multidrug-resistant bacterial infection control(r=.80, p<.001) showed a positive correlation. Conclusion: Through this study, in order to strengthen effective patient safety management behavior, it is necessary to find ways to increase immersion and proactiveness in education by developing and applying various scenarios related to patient safety in nursing management simulation education.

This study investigated the impact of various soil environmental factors on the growth and yield of Actinidia arguta (A. arguta) in Suwon, South Korea. By employing Pearson correlation analysis, we explored the relationships between soil properties such as pH, electrical conductivity (EC), organic matter content, available phosphorus, available silicon, soil moisture, and soil temperature with A. arguta growth and yield. The results revealed that soil temperature and EC had the strongest positive correlations with A. arguta growth, while organic matter content exhibited a strong negative correlation with fruit yield. The high levels of available phosphorus emerged as a potential adverse factor affecting yield. These findings suggest that managing soil temperature, EC, and phosphorus levels is crucial for optimizing A. arguta productivity. Future research should focus on fine-tuning phosphorus levels and further investigating the interactions between soil factors to enhance A. arguta yield and sustainability.

식량 운송 과정에서 발생하는 온실가스는 전 세계 온실가스 배출량의 15분의 1 수준이다. 식량이 이동하는 거리를 줄여 푸드 마일리지를 절감하는 것은 도시의 지속 가능성과 회복력 을 향상시킬 수 있다. 옥상 온실은 푸드 마일리지를 감소시키 고 에너지를 절감하는 도시농업의 한 형태로 주목받고 있다. 온실과 건물 모두 실내 환경을 유지하기 위해 냉난방이 요구 된다. 건물과 온실의 통합 시스템 운영은 설비 공유로 인한 비 용 절감, 건물과 온실 간 에너지 이동으로 인한 에너지 활용이 가능하다. 건물 에너지 시뮬레이션을 이용해 다양한 통합 시 스템 에너지 성능 평가 연구가 수행되었지만, 실제 통합 시스 템에 대한 검증과 설계변수 분석은 미흡한 실정이다. 본 연구 에서는 건물 에너지 시뮬레이션을 통해 옥상온실의 설치 유 무, 옥상의 단열 성능 및 설치 면적에 따른 에너지 절감을 평가 하고자 하였다. 현장 실험은 서울특별시 성동구 성수동의 옥 상온실에서 수행되었다. 측정한 실내 온도를 통해 건물 에너 지 시뮬레이션의 모델을 검증하였고 R2 = 0.91의 결과를 보였 다. 이후 설계변수가 에너지 부하에 미치는 영향을 정량적으로 분석하였다. 통합 시스템을 운영하는 경우, 독립적으로 운 영하는 경우보다 에너지 부하량이 감소하는 경향을 보였다. 통합 시스템 설치 시 에너지 부하 절감 효과가 있으며, 효율적 인 에너지 이용을 하는 도시농업이 될 수 있다고 사료된다. 건 물 옥상의 열관류율을 0.251W/m2·K에서 1.535W/m2·K로 증가시켜 단열 성능을 약화시킨 경우, 옥상온실과 건물 최상 층의 에너지 부하는 감소하는 경향을 보였다. 통합 시스템 설 치 시 경계면의 열 교환이 증가하도록 설계하는 것이 에너지 부하 절감에 유리하다고 판단된다. 옥상온실 면적을 2.53배 증가시켰을 때 단위면적당 에너지 부하는 감소하는 경향을 보 였다. 온실 면적 증가로 인해 에너지 부하량은 증가하지만, 건 물과 온실의 열 교환이 증가하여 통합 시스템의 에너지 부하 절감이 가능하다고 판단된다. 본 연구의 결과는 통합 시스템 을 통한 에너지 부하 절감을 위한 자료로 활용될 수 있을 것으 로 판단된다. 향후 연구에서는 기후 변화에 따른 에너지, 식량 문제의 해결 대책으로 옥상온실을 활용하기 위해서 추가적인 방안이 필요할 것으로 판단된다.

공공하수 처리시설 방류수 T-N 기준을 만족하기 위해서는 호기조에서 질산화가 안정적으로 이루어져야 한다. 수온 및 pH가 질산화에 민감한 영향을 주고 있음에도 불구하고 기존 하수처리장 설계 시 동절기 저수온만 고려하고 호기조 pH는 상시 7.0으로 가정하여 설계하고 있다. 이에 본 연구에서는 MLE 공법 하수처리장의 생물반응조 유입수 알칼리도를 계절별로 파악하여 시뮬레이션을 수행하고, 알칼리도 변화가 호기조 pH 및 NH3-N 농도에 주는 영향을 확인하였다. 연구대상 처리장의 계절별 일평균 생물반응조 유입수 알칼리도는 춘/추절기 190 mg CaCO3/L, 하절기 185 mg CaCO3/L 그리고 동절기 210 mg CaCO3/L로 하절기에 저농도 알칼리도가 유입되는 것을 실험을 통해 파악하였다. 시뮬레이션 결과, 동절기 MLSS 농도가 2,500 mg/L인 경우, 유입수 알칼리도 변화와 관계없이 호기조 NH3-N 농도는 10 mg/L 이상이며 알칼리제 투입을 통한 목표 호기조 NH3-N 농도 2.5 mg/L 달성이 어려운 것으로 확인되었다. MLSS 농도가 3,000 및 3,500 mg/L인 경우에는 유입수 알칼리도에 따라 호기조 NH3-N 농도는 각각 1.3-5.0 mg/L와 0.8-3.1 mg/L의 범위인 것을 파악하였다. 춘/추절기 및 하절기 생물반응조 유입수 알칼리도가 하한치가 유입되는 경우, MLSS 및 DO 농도와 관계 없이 pH와 알칼리도가 제한 인자로 작용하여 호기조 NH3-N 농도 2.5 mg/L 이하를 만족하지 못하였다. 반면 유입수 알칼리도가 충분한 조건에서는 DO 및 MLSS 농도만 제어해도 안정적인 질산화가 가능한 것으로 나타났다. 또한 춘/추절기 및 하절기에 호기조 DO 농도가 1.0 mg/L가 되어도 질산화가 발생되는 것이 확인되어 처리장 운영에 있어서 탄소 발생 저감 방안이 수행될 수 있다.