Purpose: This study was aimed to explore and analyze the experiences of nurses regarding department transfers following the sudden closure of a ward due to the collective resignation of residents. Methods: Data were collected from November 1 to 29, 2024, and a qualitative content analysis was employed. The participants were 11 nurses who were transferred to different departments following a ward’s sudden closure owing to the residents’ collective resignation. Results: A total of six themes and 24 sub-themes were identified. the first theme is ‘After the resident left, the ward was closed’. The second theme is ‘Various job placements were assigned after the ward’s unfortunate closure’. The third theme is ‘Difficulty adjusting to the new environment and leaning to adapt’. The fourth theme is ‘Changes in the nurse-physician relationships’, and the subtheme is ‘Surprised by doctors seeking nurses' opinions due to the absence of residents. The fifth theme is ‘Become an expert at adapting’. The sixth theme is ‘Worries about the future and a faint glimmer of hope’. Conclusion: This study highlights the challenges nurses encountered in adjusting to new departments following the unprecedented mass resignation of residents and the ensuing ward closure. Nurses initially faced difficulties, feeling expendable in the new environment. However, through the support and collaboration of their colleagues, they demonstrated resilience and adapted effectively. The study also noted that, despite the absence of residents, direct communication between medical staff and patients continued to function smoothly, facilitating their involvement in treatment planning alongside specialists and professors. Although departmental transfers can lead to increased job stress for nurses, successful adaptation during these transitions fosters professional growth by enhancing their knowledge, skills, and influence. Furthermore, knowledge sharing among nursing staff contributes to the overall development of the organization. To promote both personal growth and organizational advancement, nursing managers must actively listen to nurses’ perspectives about departmental transfers and provide compassionate support to assist in their adaptation. Creating an organizational culture that recognizes and values the contributions of colleagues who have undergone transfers is essential. By establishing a systematic approach that facilitates successful adaptation and fostering a positive, accepting nursing culture, departmental transfers can be transformed into an effective strategy for enhancing the professionalism and capabilities of nursing staff.

본 연구는 중고령 노인의 자아 탄력성과 성공적 노화의 관계에서 여가 몰입 매개적인 역할을 하는지 검증하여 실천 방안을 모색하는데 기초자료를 제공 하고자 하였다. 본 연구는 D지역 노인복지관, 문화센터 등에서 여가 프로그 램을 이용하는 중고령 노인을 대상으로 하였으며, 최종 자료분석에는 241부 를 활용하였다. 본 연구결과, 첫째, 중고령 노인의 자아탄력성이 높을수록 여 가몰입이 높은 것으로 나타났다. 둘째, 중고령 노인의 여가몰입이 높을수 록 성공적 노화가 높은 것으로 나타났다. 셋째, 중고령 노인의 자아탄력성 과 성공적 노화의 관계에서 여가몰입의 부분 매개효과로 나타났다. 이 결과 는 중고령 노인의 자아 탄력성과 성공적 노화 관계에서 여가활동 몰입의 매 개효과를 검증함으로써 중고령 노인의 성공적 노화를 위해서는 여가활동 몰 입으로 여가활동을 활성함으로써 성공적 노화를 이룰 수 있다는 결과를 검 증하였다는 점에서 의의가 있다.

본 연구는 가톨릭 민족주의와 프로테스탄트 합병주의라는 이분법적 환 원주의를 강화시키는 아일랜드의 기념 정치를 탐구하기 위해 마이클 롱리가 사용한 기억 시학을 분석한다. 첫째, 롱리의 기억 시학은 양귀비꽃 이미지를 사용하여 제1차 세계대전과 북아일랜드 분쟁을 상징적으로 연결시키며, 기념 정치의 이분법을 극복한 다. 둘째, 롱리는 포스트-1916세대의 노스탤지아를 통해 역사적 희생자들 간 연대의 비전을 제시한다. 그는 과거에 실현되지 않은 가능성들을 탐구하는데 있어 세계대전과 북아일랜드 분쟁의 희생자들을 병치시켜 당대 지배적인 기념 정치를 탈신화한다.

The purpose of this study was to develop a more accurate model for predicting the in-situ compressive strength of concrete pavements using Internet-of-Things (IoT)-based sensors and deep-learning techniques. This study aimed to overcome the limitations of traditional methods by accounting for various environmental conditions. Comprehensive environmental and hydration data were collected using IoT sensors to capture variables such as temperature, humidity, wind speed, and curing time. Data preprocessing included the removal of outliers and selection of relevant variables. Various modeling techniques, including regression analysis, classification and regression tree (CART), and artificial neural network (ANN), were applied to predict the heat of hydration and early compressive strength of concrete. The models were evaluated using metrics such as mean absolute error (MAE) to determine their effectiveness. The ANN model demonstrated superior performance, achieving a high prediction accuracy for early-age concrete strength, with an MAE of 0.297 and a predictive accuracy of 99.8%. For heat-of-hydration temperature prediction, the ANN model also outperformed the regression and CART models, exhibiting a lower MAE of 1.395. The analysis highlighted the significant impacts of temperature and curing time on the hydration process and strength development. This study confirmed that AI-based models, particularly ANNs, are highly effective in predicting early-age concrete strength and hydration temperature under varying environmental conditions. The ability of an ANN model to handle non-linear relationships and complex interactions among variables makes it a promising tool for real-time quality control in construction. Future research should explore the integration of additional factors and long-term strength predictions to further enhance the model accuracy.

The purpose of this study was to derive an optimal mix design for bridge deck pavements that can compensate for the limitations of latexmodified concrete (LMC). To address the limitations of LMC, this paper proposes the incorporation of silica fume into LMC. Concrete mixtures with varying ratios of latex and silica fume were prepared, and tests for compressive strength, flexural strength, and chloride-ion penetration resistance were conducted to compare and analyze the fundamental performance of each mix. Latex contributed to the improvement of the initial pore structure and significantly affected the chloride-ion penetration resistance in the early stages of curing. However, its influence gradually diminished over time. In contrast, silica fume induced additional C-S-H formation and further improved the pore structure through pozzolanic reactions as time progressed, thus exerting a greater impact in the later stages of curing. The L7-SF8 variable demonstrated the best performance in terms of compressive strength and chloride-ion penetration resistance. Given the characteristics of bridge-deck pavements, this variable is considered the most suitable for ensuring long-term durability. Therefore, this paper proposes a mixture of 7% latex and 8% silica fume as the optimal mix design.

This study aimed to develop a pavement management system suitable for the climate and traffic characteristics of Gangwon Province. This research focused on analyzing the asphalt pavement performance characteristics of national highways in Gangwon Province by region and developing prediction models for the current pavement performance and annual changes in performance. Quantitative indicators were collected to evaluate the condition of national highway pavements in Gangwon Province, including factors affecting road performance, such as weather data and traffic volume. The Gangwon region was then classified according to its topography, climate, weather, traffic volume, and pavement performance. Prediction models for the current pavement performance and annual changes in performance were developed for national highways. This study also compared the predicted values for the Gangwon region using a nationwide pavement performance-prediction model from other studies with the predicted values from the developed annual changes in the performance prediction model. This study established a foundation for implementing a pavement management system tailored to the unique climate and traffic characteristics of Gangwon Province. By developing region-specific performance prediction models, this study provided valuable insights into more effective and efficient pavement maintenance strategies in Gangwon Province.

This study aimed to improve the accuracy of road pavement design by comparing and analyzing various statistical and machine-learning techniques for predicting asphalt layer thickness, focusing on regional roads in Pakistan. The explanatory variables selected for this study included the annual average daily traffic (AADT), subbase thickness, and subgrade California bearing ratio (CBR) values from six cities in Pakistan. The statistical prediction models used were multiple linear regression (MLR), support vector regression (SVR), random forest, and XGBoost. The performance of each model was evaluated using the mean absolute percentage error (MAPE) and root-mean-square error (RMSE). The analysis results indicated that the AADT was the most influential variable affecting the asphalt layer thickness. Among the models, the MLR demonstrated the best predictive performance. While XGBoost had a relatively strong performance among the machine-learning techniques, the traditional statistical model, MLR, still outperformed it in certain regions. This study emphasized the need for customized pavement designs that reflect the traffic and environmental conditions specific to regional roads in Pakistan. This finding suggests that future research should incorporate additional variables and data for a more in-depth analysis.

This study aimed to evaluate the performance criteria of low-noise asphalt pavements under laboratory conditions. Laboratory tests were performed on eight porous and three non-porous asphalt mixtures. Draindown, Cantabro, tensile strength ratio (TSR), and dynamic stability tests were conducted to evaluate durability. The functionality was assessed using sound-absorption and indoorpermeability- coefficient tests. The laboratory results showed that all mixtures satisfied the quality standards for the draindown and TSR tests. In the dynamic stability test, all the mixtures demonstrated adequate rutting resistance. For porous mixtures, the Cantabro test results indicated sufficient shatter resistance and the indoor-permeability-coefficient test confirmed proper drainage performance. All mixtures exhibited satisfactory sound absorption, with the porous mixtures exhibiting slightly better sound absorption than the non-porous mixtures. Both porous and non-porous mixtures are durable and functional and are used in Korea. Future field tests are required to evaluate the noise reduction performance under different conditions and to compare the in-situ performance results with those from laboratory tests.

Purpose: To highlight the experiences of nurses who are promoted through a career development system that recognizes and rewards their expertise based on their clinical experience. Methods: This study involved 11 nurses who voluntarily participated at Clinical Nurse III level or above from a tertiary hospital. Data were collected through individual in-depth interviews from March 4 to 28, 2024, using semi-structured and open-ended questions. Analysis was performed using the Colaizzi' phenomenological method. Results: The results of the study were derived into 32 themes, 13 theme clusters, and 5 categories: ‘The promotion process you chose to grow as a leader’, ‘A rugged climb to professional recognition’, ‘Glorious CN III title’, ‘Reborn as a professional nurse’, and ‘The career ladder system needs improvement but it is essential’. Conclusion: This study revealed the experiences of CN III nurses who were promoted through the career development system. Nurses hope that this system will allow them to articulate their expertise more clearly and be rewarded for their valuable experiences. By assessing the career development needs of the nurses, we aimed to better recognize their skills and enhance the significance of their experiences.

KCEV(Korean Combat Engineer Vehicle) perform the mission of removing mines and various military obstacles buried in the battlefield and opening passageways. It is characterized by modifying the chassis of the K1 series tank and equipping it with an excavator, track-width mine plough, and magnetic signature duplicator. KCEV has a steering wheel, and steering force is transmitted to the transmission steering lever through the steering linkage and acceleration linkage. KCEV can be steered in up to 3 gears, and it was confirmed that there was a risk of interference with the acceleration linkage as a bending occurred in the steering linkage when steering to the right in 3 gears. In this study, we examined the bending of the acceleration linkage and proposed a method to increase the stiffness of the acceleration linkage tube to improve it. Structural analysis was conducted to confirm the effect of increasing rigidity, and the improvement was confirmed by applying it to an actual vehicle. As a result, it was confirmed that not only the bending displacement of the steering linkage was reduced, but also the stress in the bent area was reduced.

테트로도톡신(tetrodotoxin, TTX)은 강력한 해양생물 유 래 신경독소로, 수산물 내 TTX를 검출하기 위해 기존에 주로 사용되는 mouse bioassay (MBA)와 LC-MS/MS 기법 은 낮은 검출한계와 동물 윤리 문제 등의 한계가 있어 이 를 대체할 새로운 시험법 개발이 필요합니다. Neuro-2a assay는 대표적인 세포기반 대체 시험법으로, 이 방법은 마우스 신경모세포인 Neuro-2a 세포주에 ouabain (O)과 veratridine (V)을 처리하여 과도한 Na+ 유입으로 인한 세 포 사멸을 유도한 후, Na+ 채널 억제제인 TTX가 Na+ 유 입을 차단해 세포를 보호하는 원리를 이용해 TTX를 정량 합니다. 본 연구에서는 Neuro-2a assay를 국내 실험실 환경에 적용하기 위해 TTX 처리 조건과 O/V 농도 등의 매 개변수를 최적화하였습니다. 그 결과, 최적 O/V 농도로 600/60 μM를 설정하였으며, S자형 용량-반응 곡선이 도출 되는 8가지 농도(50-0.195 ng/mL)를 확인하였습니다. 또한, 24번의 반복 실험을 통해 데이터의 신뢰도를 평가할 수 있는 6가지 data criteria를 확립하였으며, 이 중 EC50 값 은 약 3.824-1.268 ng/mL로 나타났습니다. 실험실 간 변동 성 비교 결과, COV+와 Bottom OD값을 제외한 모든 품 질 관리 기준(quality control criteria)과 데이터 기준(data criteria)의 변동계수(CVs)는 1.31-14.92%로 도출되어, 실험 의 적정성과 재현성이 확인되었습니다. 본 연구는 국내에 서 활용 가능한 TTX 검출용 Neuro-2a assay의 최적 조 건과 신뢰성을 평가할 수 있는 quality control criteria와 data criteria를 제시하였습니다. 아울러, TTX뿐만 아니라 유사체인 4,9-anhydroTTX에 대한 TEF 값을 0.2098로 산 출하여, TTX뿐 아니라 다양한 유사체의 검출이 가능함 을 확인하였습니다. 향후, 본 시험법은 국내 수산물 내 TTX 검출을 위한 MBA 대체법으로 활용될 것으로 기대 됩니다.

도모익산(domoic acid) 군 독소는 기억상실성 패류중독 (amnesic shellfish poison, ASP)을 유발하는 해양생물독소 이다. 도모익산은 주로 규조류 Pseudonitzchia sp. 에서 생 성되어 이매패류의 체내에 축적되어 독화된다. 우리나라 연안에서는 봄철과 가을철에 Pseudonitzchia sp.의 출현이 보고되고 있으며, 수산물 내 도모익산 군 독소의 함량 기 준을 설정하여 관리하고 있다. WHO와 EFSA에서는 선제 적 안전관리를 위하여 인체노출안전기준안을 제안하여 관 리하고 있다. 본 연구는 도모익산 군 독소의 이화학적 특 성, 분석법, 인체 노출 사례와 국내외 관리 현황 등의 자 료를 검토하여 도모익산 군 독소의 체계적인 모니터링과 안전관리의 기반을 마련하고자 수행되었다.

PURPOSES : This study evaluates the noise reduction effects of various road paving methods and focuses on low-noise pavements as a cost-effective alternative to sound barriers and tunnels. In addition, this study assesses how noise levels vary with vehicle speed across different paving methods. METHODS : An analysis of variance (ANOVA) was conducted to evaluate the noise performance of different paving methods, and this followed by a post-hoc analysis to examine the differences among the paving methods. Another ANOVA was conducted to evaluate the impact of speed on noise performance. This ANOVA was followed by a post hoc analysis to assess differences by speed. Finally, a covariance analysis was conducted, using speed as a covariate, to evaluate the noise reduction effects of the various paving methods. RESULTS : The results of the analyses showed that noise levels follow the order of General ≈ Non-draining > Single-layer ≈ Doublelayer, thus grouping the paving methods into two categories with significant differences in noise performance. In addition, the noise levels increased with speed, except at 70 and 80 km/h. The covariance analysis resulted in a regression coefficient of 0.267 for speed across all paving methods. A post-hoc analysis grouped the paving methods into three distinct categories: General, Non-draining ≈ Single-layer ≈ Double-layer, with notable noise differences between them. CONCLUSIONS : The analysis of noise performance showed that both the paving method and speed significantly affected the noise levels. The covariance analysis, using speed as a covariate, revealed a consistent regression coefficient of 0.267 across all the paving methods. After controlling for speed, noise differences were observed. The General method showed higher noise levels than did the Non-draining, Doublelayer, and Single-layer methods.

본 논문에서는 다양한 기상 조건에서 시인성과 내구성을 향상시키도록 설계된 도로 표시용 UV 경화 코팅 시스템 개발을 위해 수행한 연구의 결과를 나타내었다. 제조된 UV 코팅을 사용해 차선 표시의 재귀반사도와 내마모성을 강화하고 포장가속시험(APT), 휠 트래킹 내구성 테스트 등 다양한 테스트를 통해 성능을 평가하였다. 이 결과를 바탕으로 도로 안전을 위한 야간 시인성 및 미끄럼을 개선하 고자 한다.

본 논문에서는 건설 현장 관리의 과제를 다루고 IoT 기술 활용을 위한 기술 적용에 대해 정리하였다. 도로 포장 장비의 유휴 시간을 모니터링하는 IoT 장치를 설계 및 구현하여 효율적인 장비 관리 시스템을 개발하는 것을 목표한다. 또한, 본 연구에서는 통신방식 선 정, 사용자 친화적인 플랫폼 설계, 데이터 수집 및 분석을 위한 진동센서 기반 IoT 디바이스 개발을 통한 실시간 관리에 중점을 두고 있다. 플랫폼을 통해 공사현황을 실시간으로 모니터링하고 장비 유휴시간을 관리해 효율성을 높일 수 있으며, IoT 디바이스는 90% 이 상의 데이터 정확도를 보장한다. 현장 테스트를 통해 장비 사용 추적 효과가 확인되어 보다 효율적인 건설 관리에 기여하고자 한다.

This study was conducted to evaluate the market potential of 'Hwanggeumsantari', a new oyster mushroom variety developed in Gyeonggi Province in 2019, and to derive effective market entry strategies. To objectively assess the marketability of 'Hwanggeumsantari’ from various perspectives, a panel of 50 consumers was formed, and surveys and interviews were conducted. Additionally, two Focus Group Interviews were held with distributors in the agri-food sector. The results showed that potential consumers were positive about the color and texture of ‘Hwanggeumsantari', but expressed relatively less satisfaction with its shelf life and aroma. Distributors, through tow Focus Group Interviews, evaluated that the product had sufficient market competitiveness, but called for efforts to improve cultivation techniques and enhance price competitiveness. Based on the results of market evaluations by consumers and distributors, a SWOT analysis was conducted. The main strengths identified were its outstanding color and texture, while the main weakness was its freshness issue. Meanwhile, the growing demand for healthy foods and various online sales channels could provide market entry opportunities for ‘Hwanggeumsantari', but high sensitivity to price in the case of premium pricing could pose a threat. Consequently, a market entry strategy for ‘Hwanggeumsantari’ was proposed using a 4P mix approach based on the SWOT analysis results. The product strategy emphasized premium positioning, small packaging, and the development of packaging technology to maintain freshness. The price strategy proposed premium pricing and the operation of incentive programs. The distribution strategy suggested channel diversification, direct stores, or direct sales, while the promotion strategy emphasized storytelling and collaboration with influencers.