Permeable blocks are effective in improving urban water circulation and alleviating heat islands and floods. However, they cause environmental problems owing to their dependence on cement and natural aggregates. In this study, a permeable block was developed, and its performance was verified using ferronickel slag (FNS) as a substitute. The block applied with FNS met the KS F 4419 standard, and an average flexural strength of 4 MPa and a permeability coefficient of 0.1 mm/s or more were secured. This study confirmed that natural aggregate collection could be suppressed, resource efficiency could be improved, greenhouse gas reduction could be achieved, and high value-added industrial byproducts could be used.

This study reports the development of a new alfalfa (Medicago sativa L.) variety, ‘Alfaone’, at the Forage Production Systems Division, National Institute of Animal Science, Rural Development Administration, Korea, from 2015 to 2023. The variety originated from an artificial cross between Xun Lu (maternal parent) and RadarⅡ Brand (paternal parent), followed by pedigree selection and performance testing. The elite line ‘MsCB01’ was subsequently released as ‘Alfaone’. Regional adaptability trials were conducted for two years (2022–2023) across four representative sites in Korea (Cheonan, Pyeongchang, Jeongeup, and Jinju) to evaluate agronomic traits, forage yield, and quality. Evaluated characteristics included plant height, regrowth ability, winter survival, and lodging resistance. The average dry matter yield of ‘Alfaone’ was 20,811 kg/ha, approximately by about 3% higher than that of the standard cultivar ‘Vernal’ (20,236 kg/ha). Yield superiority was particularly evident in Pyeongchang, suggesting excellent cold tolerance and winter hardiness. Assessment of forage nutritive traits indicated that ‘Alfaone’ was comparable to ‘Vernal’, demonstrating that its yield advantage did not come at the expense of quality. Overall, ‘Alfaone’ is a promising cultivar that combines high productivity with strong adaptability to unfavorable environments, particularly cold-prone regions. Its release is expected to promote the expansion of alfalfa cultivation, enhance forage self-sufficiency, and reduce dependence on imported hay in Korea.

Current portable reference equipment used to evaluate the performance of vehicle detectors can collect traffic volume and speed only for the outermost lanes in each direction. Passing vehicles on the other lanes are manually counted by reviewing the recorded videos. Consequently, only traffic volume—without vehicle speed—is used as a reference value. This method is time-consuming for comparing the performance data from the equipment with the reference data and can compromise the performance evaluation. This study aims to enhance the efficiency of vehicle detection system (VDS) performance evaluations by developing multilane portable reference equipment that can accurately collect traffic information for lanes beyond the outermost lane or for more than two lanes. This study introduced the core technologies of multilane portable reference equipment and compared and analyzed the measurement accuracy of the developed equipment against data from fixed reference equipment operated by the Intelligent Transportation System (ITS) Certification and Performance Evaluation Center, following ITS performance evaluation criteria. The data from the fixed reference equipment were considered the true values, providing a basis for evaluating the accuracy of the measurements by the developed equipment. First, the accuracy of the vehicle length was determined by driving four test vehicles, each measuring 7,085 mm in length, 24–29 times in each lane. The accuracy was calculated by comparing the vehicle length data obtained from the fixed reference equipment with the actual vehicle length. A confidence interval was established for this accuracy. To assess the accuracy of the speed and occupancy time in relation to the accuracy of the analyzed vehicle length, we evaluated the error range of the vehicle length according to variations in speed and occupancy time. This analysis was based on the following relationship equation: “vehicle length = speed × occupied time – sensor spacing.” The analysis used data from approximately 16,000 vehicles, including the speed, occupancy time, and vehicle length, collected between 8:00 am and 12:00 pm on August 8, 2024. The principle behind measuring traffic volume and vehicle speed using multilane portable reference equipment involves detecting a vehicle by analyzing the time difference between the driver and passenger tires. The vehicle speed was calculated using the installation angle of the tire detection sensor and trigonometric functions. An analysis of the measurement accuracy revealed that the traffic volume accuracy of the outermost lane (the fourth lane) was 100% during both day and night. The speed accuracy was 98.8% during the day and 97.7% at night, representing the highest performance in these metrics. Additionally, the traffic volume accuracy for the innermost lane (the first lane), as measured by the detection sensor from the third lane, was more than 99.3% at all times, with a speed accuracy exceeding 96% during the day and night, that also demonstrated excellent results. The analysis results indicated that the multilane portable reference equipment developed in this study was suitable for evaluating the VDS performance. This equipment allowed the collection of traffic volume and speed data from all lanes, rather than only the outermost lanes. This capability enabled consistent analysis for each lane and enhanced efficiency by reducing the analysis time. Additionally, this is expected to improve the reliability of the performance evaluations.

Background: The Functional Movement Screen (FMS) is widely used for movement assessment but suffers from subjective scoring that leads to inconsistent evaluations. While previous studies have focused on reliability, the validity of AI-supported assessment remains unexplored. Objectives: To evaluate the reliability and validity of an AI-based motion analysis system using MediaPipe for three FMS movements. Design: Prospective reliability and validity study with repeated measures. Methods: Thirty healthy adults (age 23.4±2.8 years) performed three FMS tests (Deep Squat, Hurdle Step, Inline Lunge) recorded on video. Three evaluators (two experienced physical therapists and one novice) assessed recordings in three phases: Phase 1 involved traditional assessment by experts only to establish criterion reference, Phase 2 had all evaluators using AI support, and Phase 3 consisted of repeated AI-supported assessment. The AI system provided real-time visual feedback of joint angles and alignment through MediaPipe skeletal tracking. Results: Criterion validity showed strong agreement between traditional expert assessment and AI-supported assessment (r=0.94, P<.05). Inter-rater reliability improved from good (ICC=0.89) to excellent (ICC=0.91) with AI support. The novice evaluator achieved immediate expert-level performance with only 0.05 points difference from experts. Intra-rater reliability was excellent for all evaluators (ICC=0.84-0.89). Conclusion: The AI-based system demonstrated strong validity and improved reliability for fundamental movement assessment. While AI support enabled novice evaluators to achieve expert-level performance immediately, it may increase sensitivity to subtle movement variations. This technology shows promise for standardizing movement screening, though current limitations restrict its application to standing movements.

The prime objective of this computational study was to develop a highly accurate potential for the use of molecular dynamics (MD) simulations of carbon nanotubes (CNTs). This potential was generated using ab initio MD (AIMD) simulations based on density functional theory (DFT). Subsequently, we constructed machine-learned interatomic potentials (MLIPs) based on moment tensor potential (MTP) descriptors using AIMD trajectories as training data. The performance of the developed MLIPs was evaluated by conducting the MD simulations of the stress–strain responses of single-walled CNTs (SWCNTs) and defected SWCNTs (D-SWCNTs) under tensile loading. Furthermore, this work includes extensive MLIP-based MD simulations to examine the influence of diameter and chirality, temperature, and defect concentration on the fracture characteristics and Young’s modulus of SWCNTs. The findings demonstrate the computational reliability and transferability of the MLIPs in predicting the mechanical properties of SWCNTs through MD simulations performed over a temperature range of 1 K to 2000 K. The observed stiffnesses correspond to Young’s modulus ranging from 1.61–0.53 TPa with a mean value of 0.936 TPa for different SWCNTs with diameters ranging from 1.1–2.89 nm and temperatures spanning from 1 to 2000 K, exhibiting a noticeable dependence on chirality.

본 연구는 백두대간보호지역의 체계적 관리를 위한 관리효과성 평가지표를 개발하고자 하였다. IUCN-WCPA의 평가틀과 관리효과성 추적기법 (METT)을 기반으로 국내외 문헌과 사례를 분석하고, 텍스트 마이닝 기법을 통해 범주별 핵심 키워드를 도출하였다. 이후 산림 분야 전문가 8인을 대상으로 2회에 걸친 델파이 조사를 실시하여 평가지표의 타당성과 합의도를 검증하였다. 그 결과, 1차 조사에서는 CVR 기준 미달 항목 16개가 삭제되고, 2차 조사에서 2개 항목이 추가로 제외되었으며, 전문가 피드백을 반영하여 ‘지역사회 참여 구조’, ‘장비·시설의 유지 관리’, ‘침입종 피해 여부’ 등 현장 적용성이 높은 항목이 새로 포함되었다. 최종적으로 상황 4개, 계획 3개, 투입 4개, 과정 5개, 결과 4개, 성과 6개 등 총 26개의 평가지표가 도출되었으며, 전문가 합의도(0.83)와 수렴도(0.38) 수준에서 만족스러운 신뢰도를 확보하였다. 평가 대상자 유형별로는 관리담당 자 25개, 전문가 26개, 지역주민 4개 항목으로 차등 적용되도록 설계되었으며, ‘관리주체의 적합성’ 등은 전문가 전용 항목으로 구분하였다. 본 연구는 백두대간보호지역의 특성과 현장 문제를 반영한 실질적 지표 체계를 구축함으로써, 향후 법제화 기반 마련과 보호지역의 통합적·지속가능한 관리전략 수립에 기여할 수 있을 것으로 기대된다.

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.

Ride comfort is a key factor in vehicle performance, yet traditional evaluations often rely on subjective methods, leading to inconsistencies. This study presents a deep neural network (DNN)-based model trained on real-world driving data to objectively assess ride comfort. The model’s accuracy is validated using RMS, VDV, and Crest Factor based on ISO 2631. Results show that the DNN effectively captures nonlinear vibration characteristics and offers reliable predictions. This highlights the potential of AI in improving ride comfort assessment.

대한민국의 군은 무형의 전투력 강화를 위한 나름의 다문화정책을 추진해왔 으며, 학계에서도 관련 대비책 마련을 위한 연구들이 꾸준히 이어져 왔다. 그 러나 이 글은 민군 양자의 영역에서 기울이는 그간의 노력이 각각 공전(空轉) 할 뿐, 상보적인 결과로 이어지지 못한다는 점에 주목하고, 다음의 두 단계 논 의를 거쳐 군 다문화정책 발전 방안에 대한 비판적 고찰을 시도한다. 우선, 기 존의 문헌 자료들과 각종 연구보고서에 대한 검토를 기본으로 하되, 이 글의 문제의식과 연구목적에 부합하는 총 8가지 질의에 따라 육·해(해병대 포함)·공, 3군(軍)과 주무 부처인 국방부가 국회에 제출한 답변자료를 토대로, 군의 다문 화정책 시행 현황을 살펴보았다. 그리고 이 과정에서, 군사경찰에 의해 형사입 건된 다문화 장병 관련 차별 사건사례(건명, 모욕)가 2021년에 2건 발생했었고, 최근 5년간 다문화 이해 교육은 각 군별로 ‘실시’ 혹은 ‘미실시’, 관련 자료의 ‘보유’ 혹은 ‘미보유’ 등 별도의 관리에 있어서 차이가 있음을 확인하였다. 다 음으로, 이상에서 파악된 문제점들을 근거로 ‘기술적 평가(descriptive evaluation)’ 방식을 준용한 4가지 기준에 따라 현재 시행 중인 군 다문화정책 을 분석하였다. 그 결과, 해당 정책에 대한 재논의와 다음의 정책 보완점이 필요함 을 주장한다. 첫째, 정부와 각 군 차원에서는 ‘다문화 전략’과 전략목표의 설정, 보 강된 다문화 이해 교육 실시를 위해 학계와의 ‘인식커뮤니티(epistemic community)’를 형성해야 하며, 둘째, 학술연구 차원에서는 민군이 연계 및 협력하 여 정책 연구 우수 성과를 발굴하고 확산시키는 과제를 병행함으로써 이행기 문화 시기의 군, 전(全) 장병을 위한 철저하고 기민한 대비를 해나갈 수 있다고 강조한다.

This study developed an integrated performance evaluation framework for rural development Official Development Assistance (ODA) projects in Korea and validated its effectiveness through practical application. Based on the FAO’s SAFA (Sustainability Assessment of Food and Agriculture Systems) Tool, the framework enables a balanced assessment across economic, social, environmental, and governance dimensions. The methodology incorporates the Analytic Hierarchy Process (AHP) and Importance-Performance Analysis (IPA) to measure the importance and performance of objectives and indicators. The developed framework serves as a tool for Project Design Matrix (PDM) development, monitoring, and evaluation throughout the project’s planning, implementation, and completion phases. During planning, it systematically incorporates stakeholder input in setting objectives and indicators. During implementation, it facilitates real-time monitoring for immediate decision-making and resource reallocation. At completion, it supports comprehensive performance evaluation. Application of the framework to the “Rural Development Programme in Tuyen Quang Province, Vietnam” demonstrated its effectiveness in systematizing excessive indicators and clarifying the hierarchical and logical connections between objectives. This performance evaluation framework can enhance project transparency and accountability by overcoming the limitations of current PDM approaches and providing systematic methods for incorporating stakeholder feedback. It is particularly applicable to multi-sectoral rural development programs and is expected to contribute to integrated development in target areas. However, validation through a single case study presents limitations, necessitating future application across diverse regions and project types to verify generalizability.

도시공원은 자연경관 조성 및 시민들의 건강, 휴양, 정서적 안정에 중요한 역할을 한다. 따라서 도시 공원에 대한 체계적인 평가는 필수적이다. 현재 『공원녹지기본계획수립지침』에 따라 5년마다 공원녹지 지표를 활용한 주기적인 평가가 이루어지고 있으나 『도시공원 및 녹지 등에 관한 법률』 시행령에서 제시하는 지표는 주로 양적 확장에 초점이 맞춰져 있어 공원의 다양한 가치를 충분히 반영하지 못하고 있다. 이로 인해 일부 지자체는 자체적으로 지표를 개발하여 사용하고 있으나 통 합적이고 종합적인 지표 체계가 필요한 실정이다. 본 연구는 도시관리계획에 따라 조성된 도시공 원의 평가를 위한 통합 지표 리스트를 개발하고 광주광역시를 대상으로 시범 분석하여 적용 가능성 을 검토하는 데 목적을 두었다. 국내외 주요 도시들의 공원 지표를 분석하고 빅데이터를 활용해 공원 이용자의 인식을 반영한 통합 지표 리스트를 도출하였다. 전문가 설문을 통한 계층분석법 (AHP)을 실시하여 각 지표의 우선순위를 산정하였다. 연구 결과 도시공원 평가를 위한 총 15개의 종합 지표가 도출되었으며, 지표 특성에 따라 우선순위가 달라질 수 있음을 확인하였다. 광주광역 시는 1인당 공원면적 기준으로 충분한 녹지를 보유하고 있지만 시민의 만족도는 낮아 추가적인 녹지 확충 요구가 지속되고 있다. 이는 기존 평가지표의 한계를 드러내는 부분이다. 본 연구는 이용자 인식과 전문가 의견을 기반으로 도시공원 정책과 계획에 활용 가능한 지표의 방 향성을 제시했다는 데 의의가 있다. 다만 개별 지표의 구체적인 산출방식과 개념 정의에는 한계가 있었다. 향후 연구에서는 지표 측정 방법을 구체화하고 지표 운영 및 관리 체계를 확립하며, 적용 전후 비교 분석을 통해 실효성을 검증해야 할 것이다. 또한 도시공원의 양적·질적 측면을 종합적으 로 고려하는 지표 개발 및 연구가 지속적으로 요구된다.

최근 지구온난화에 따른 이상기후의 빈도 증가로 구조물의 손상사례가 지속적으로 증가하고 있다. 따라서 본 연구는 구조물의 보 수·보강을 위한 친환경 숏크리트를 개발하는 것을 목표로 하여 진행하였다. 자연섬유와 나노버블수를 혼입하여 진행하였다. 자연섬 유는 수축·균열 억제 효과를 가지며 내구성 증진으로 구조물의 공용수명 증진 효과를 기대할 수 있다. 나노버블수는 포집된 이산화탄 소를 사용함으로써 탄소배출 절감 효과를 가지며 리바운드 저감의 효과로 시공재료비 절감 효과를 갖고, 초기강도 증진으로 급결제 사용량 감소로 인한 환경오염 개선도 기대할 수 있다. 본 연구에서는 리바운드율, 레올로지 및 붙임두께, 숏크리트 실험 후 평균 소 성수축 균열을 분석하였으며 펌핑성, 워커빌리티, 균열 저감 효과, 시공성 등을 확보하였다. 또한 자연섬유와 나노버블수를 혼입한 친환경 숏크리트를 통해 환경오염 개선, 탄소배출 절감, 시공재료비 절감, 구조물의 공용수명 증진 효과를 기대할 수 있다.

상수도 시스템에서의 사고 발생은 사용자들의 물 이용 불편으로 인해 막대한 사회경제적 피해를 초래할 수 있는 위협 요인이며, 따라서 수도사업자들은 수도정비기본계획 등을 통해 상수도 사고를 빠르게 복구하고, 피해 규모를 최소화하기 위한 다양한 노력을 기울이고 있다. 본 연구는 상수도 시스템에서 발생하는 관로사고 상황에 대하여 회복탄력성을 정량적으로 평가하고, 비상급수 방안을 포함한 사고 대응 전략의 효과를 분석하기 위한 평가 모형을 개발하였다. 개발 모형은 시스템의 회복탄력성에 기여하는 다양한 특성들을 반영할 수 있는 시간단위 공급 부족량과 충족률 지표를 통해 회복탄력성을 평가하며, 국내 지방상수도 시스템의 특정 구역을 대상으로 관로사고 시나리오를 모의하여 개발 모형의 적용 효과를 검증하였다. 결과적으로 개발 모형을 통해 비상연계관로, 배수지 충수, 병물 공급 등 비상대응 방안의 효과를 정량적으로 평가하였으며, 이를 통해 시스템의 회복탄력성 향상을 위한 설계 및 운영 전략 수립의 가능성을 확인하였다.

Purpose: This single-group pre-post experimental study aimed to develop and apply a simulation-based infection control education program for neonatal intensive care unit (NICU) nurses to verify its effectiveness and provide baseline educational materials to strengthen NICU nurses’ infection control competencies. Methods: The educational program was developed according to the five phases of analysis, design, development, implementation, and evaluation models, with scenarios based on the educational needs of NICU nurses. To verify the program’s effectiveness, a study was conducted on 28 NICU nurses of general and tertiary hospitals. NICU nurses’ infection control knowledge, performance confidence, critical thinking disposition, and satisfaction with the education were surveyed after applying the education program. Results: The simulation-based NICU infection control educational program was effective for NICU nurses’ infection control knowledge (t=−7.35, p < .001), performance confidence (t=−6.30, p < .001), and critical thinking disposition (t=−5.12, p < .001). Conclusions: The infection control educational program can contribute to infection prevention and patient safety by improving the NICU nurses' infection control competencies and be used as a baseline educational material for infection control education.

In this study, a performance evaluation was conducted on a composite elastic asphalt precast expansion joint developed to replace steel expansion joints that frequently suffer from various damages, such as blow-up owing to increased traffic volume and abnormal weather. Two types of elastic asphalt binders were prepared by mixing a latex-based modifier, and their basic properties and performance were evaluated. Elastic asphalt binders were mixed with 8–13 and 13–19 mm aggregates to prepare elastic asphalt joint mixtures, and their permanent deformation and adhesive performance were evaluated using Hamburg wheel-tracking and direct-shear tests. Elastic asphalt joint blocks and internal reinforcement for crack prevention were applied to produce the elastic composite expansion joints, and their performance was evaluated through contraction–extension tests to determine fatigue cracking, maximum load during contraction– extension, and repeated contraction–extension tests. As a result of the performance evaluation of the developed elastic asphalt binder, both the high- and low-temperature performances were improved, and the temperature sensitivity was superior to that of general asphalt binders, exhibiting high resistance to cracking. In addition, the joint block specimens manufactured by mixing the elastic asphalt binder with 13–19 mm aggregates exhibited excellent permanent deformation in the dynamic stability and Hamburg wheel-tracking tests, and they had higher adhesive performance than the method of repairing with rapid-hardening concrete materials at low and room temperatures, where significant contraction of the concrete joint occurs. We confirmed that when a compression spring-type reinforcement was applied, the compressive force for contraction decreased significantly compared with the unreinforced state, and the tensile force for extension increased, thereby reducing the stress applied to the mixture itself. The composite elastic asphalt precast expansion joint developed in this study is expected to have superior durability against cracks and secure continuity with the road surface through the tensile force dispersing effect using expansion reinforcement. Thus, it has better drivability than the existing steel expansion joint and can absorb shocks such as vibrations and noise applied to a structure.