The purpose of this study was to optimize the design of asphalt concrete pavements for Jeju Island by considering the regional characteristics of the island. This study employed an MEPDG program to determine the allowable traffic loads for class 4 vehicles by considering the axle loads, climate, and material properties. Samples of basalt asphalt concrete from Jeju were used to measure the dynamic modulus for material property estimation. The climate input was based on 30-year climate data from Jeju. The thicknesses and moduli of the subgrade, subbase, and asphalt layers were incorporated into the design. The regression-analysis program SPSS was used to develop a regression equation for the overlay design, factoring in the modulus and thickness ratios between the existing and overlay asphalt layers. A pavement-thickness design formula tailored to Jeju's characteristics was derived. An equivalent single-axle load factor (ESALF) formula was developed to facilitate traffic-load estimation for different roads, enabling the easy incorporation of varying traffic volumes into the design. The ESALF formula demonstrated a high correlation with the pavement thickness, subgrade conditions, and axle loads, whereas the pavementthickness design formula exhibited strong correlations with the pavement thickness, subgrade state, thickness ratios, and modulus ratios. The use of basalt aggregates in asphalt concrete pavements provides an economically viable and technically sound solution for Jeju. The proposed design methodology not only reduces costs but also enhances pavement performance and road safety. The developed formulas offer flexibility in adjusting designs based on specific traffic conditions, providing optimal pavement solutions for different road categories.

The purpose of this study was to enhance the correlation between the dependent and independent variables in a prediction model of pavement performance for local roads on Jeju Island by applying K-means clustering for data preprocessing, thereby improving the accuracy of the prediction model. Pavement management system (PMS) data from Jeju Island were utilized. K-means clustering was applied, with the optimal K value determined using the elbow method and silhouette score. The Haversine formula was used to calculate the distances between the analysis sections and weather stations, and Delaunay triangulation and inverse distance weighting (IDW) were employed to interpolate the magnitude of the influencing factors. The preprocessed data were then analyzed for correlations between the rutting depth (RD) and influencing factors, and a prediction model was developed through multiple linear regression analysis. The RD prediction model demonstrated the highest performance with an R² of 0.32 and root-mean-square error (RMSE) of 1.48. This indicates that preprocessing based on the RD is more effective for developing an RD prediction model. The study also observed that the lack of pavement-age data in the analysis was a limiting factor for the prediction accuracy. The application of K-means clustering for data preprocessing effectively improved the correlation between the dependent and independent variables, particularly in the RD prediction model. Future research is expected to further enhance the prediction accuracy by including pavement-age data.

This paper explores a convergent approach that combines advanced informatics and computational science to develop road-paving materials. It also analyzes research trends that apply artificial-intelligence technologies to propose research directions for developing new materials and optimizing them for road pavements. This paper reviews various research trends in material design and development, including studies on materials and substances, quantitative structure–activity/property relationship (QSAR/QSPR) research, molecular data, and descriptors, and their applications in the fields of biomedicine, composite materials, and road-construction materials. Data representation is crucial for applying deep learning to construction-material data. Moreover, selecting significant variables for training is important, and the importance of these variables can be evaluated using Pearson’s correlation coefficients or ensemble techniques. In selecting training data and applying appropriate prediction models, the author intends to conduct future research on property prediction and apply string-based representations and generative adversarial networks (GANs). The convergence of artificial intelligence and computational science has enabled transformative changes in the field of material development, contributing significantly to enhancing the performance of road-paving materials. The future impacts of discovering new materials and optimizing research outcomes are highly anticipated.

우리 사회는 사회의 발전 및 유지를 위해 사회복지가 필요하다. 하지만. 사회복지가 필요 한 곳에는 아직 미흡한 제도로 인하여 어쩔 수 없이 나타나는 사각지대를 자원봉사자는 이 를 메워 주며 발전하는데 도움을 주고 있다. 자원봉사를 주도하는 자원봉사자들은 자원봉사 활동으로 개인적 성장을 도모하면서 사회 적으로도 개인의 성장에 도움을 주게 된다. 자원봉사자들은 자원봉사 활동에 소속감을 가질 경우 자원봉사에 대한 만족도가 높다. 이는 자원봉사활동을 통해 자원봉사자들이 인간의 기 본 욕구 중 상위 욕구가 충족이 되어 진다면, 자원봉사활동은 더욱 풍성해 질 수 있다는 것 을 의미한다고 볼 수 있다. 이에 자원봉사자들이 자원봉사활동을 통해 더욱 더 강한 소속감 을 느끼게 하거나, 봉사활동을 통해 소속감을 증진 시킬 수 있는 공동체 프로그램은 자원봉 사활동에 대한 자원봉사자들의 적극적 태도 및 자원봉사활동의 목표 달성에 대한 동기발생 및 의지가 함양될 수 있을 것이다. 그래서 자원봉사의 소속감을 증진시킬 수 있는 공동체 프로그램을 구성하였다. 프로그램은 기존 검증되고 활용되고 있는 공동체의식햠양프로그램 과 푸드아트심리상담프로그램 그리고 십오통활프로그램을 활용하여 프로그램을 총 10회기 로 구성하였다. 실제적 프로그램 진행이 이루어지게 되어 자원봉사의 활성화에 기여할 수 있기를 기원해 본다.

본 연구는 공동양육에서의 일관성 부족이 이혼가정 자녀의 행동문제 발생에 미치는 영향을 분석한 것이다. 서울 및 수도권 지역의 이혼가정 50가족을 대상으로 설문조사와 심층 인터뷰를 통해 데이터를 수집하였다. 양적 분석 결과, 양육 일관성 수준이 높을수 록 자녀의 행동문제가 감소하는 부적 상관관계가 발견되었다. 또한, 부모의 양육 스트레 스가 일관성과 자녀 행동문제 간의 관계를 조절하는 것으로 나타났다. 질적 분석에서는 부모 간 의사소통 부족, 양육 철학 차이가 주요 문제로 지적되었으며, 일관성 부족이 자 녀의 정서적 불안, 반항적 행동, 사회적 부적응을 유발하는 것으로 드러났다. 연구는 부 모 간 협력과 의사소통을 통해 일관성을 유지하는 것이 자녀의 건강한 발달에 필수적임 을 강조하며, 이를 위한 부모 교육 프로그램과 정책적 지원의 필요성을 제안한다.

This research examines China’s development in terms of the nation’s SOE reforms surrounding the two major milestones in China’s integration with neoliberalism, the accession to the World Trade Organization and the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP). It considers the interlinking of the legal aspect of China’s SOEs reform with its economic development, and reinforces the economic argument that China has embraced both neoliberalism and state-capitalism in order to achieve its industrial development. This paper highlights the persistent logic of China’s SOEs reform which aims to approach international legal standards while keeping sight of the objectives of economic development. China’s semi-embrace of neoliberalism and its insistence on state capitalism, on the one hand, provide an alternative developmental model for other developing countries, while on the other hand, facing an increasingly deteriorating relationship with the US which cannot tolerate any rising power that challenges its hegemony, especially a power with a different ideology.

Steel moment frame connections are vital in moment frames designed to resist forces transferred from adjoining beams and columns. The welded unreinforced flange-welded web (WUF-W) connection is one of the pre-qualified connections used for steel special moment frames (SMFs). This study developed drift-based fragility functions for WUF-W connections based on test data of 35 WUF-W connection specimens from ten previous experimental studies. Four different damage states were defined to calculate the fragility: onset of yielding, local buckling, strength loss, and fracture. Fragility functions were derived assuming that lognormal distribution was validated using the Kolmogorov-Smirnov (K-S) test. It was confirmed that fragility functions for WUF-W connections were accurately proposed within a specified confidence interval. The fragility functions proposed in this study exhibit smaller standard deviations compared to FEMA P58, thereby reducing the likelihood of overestimating or underestimating damage at specific drift ratios. Furthermore, these functions remain within the confidence intervals across all damage states, contributing to improved accuracy in damage analysis and loss estimation in performance-based earthquake engineering.

The precast concrete (PC) method allows for simple assembly and disassembly of structures; however, ensuring airtight connections is crucial to prevent energy loss and maintain optimal building performance. This study focuses on the analytical investigation of the shear capacity of precast ultra-high-performance concrete (UHPC) ribs combined with standard concrete PC cladding walls. Five specimens were tested under static loading conditions to evaluate their structural performance and the thermal behavior of the UHPC rib shear keys. Test results indicated that the specimens exhibited remarkable structural performance, with shear capacity approximately three times greater than that of standard concrete. Numerical models were subsequently developed to predict the shear capacity of the shear keys under various loading conditions. A comparison between the experimental results and finite element (FE) models showed a maximum strength difference of less than 10% and a rib displacement error of up to 1.76 mm. These findings demonstrated the efficiency of the FE model for the simulation of the behavior of structures.

이 논문은 뮤지컬 『라이온 킹』에서 그루브(Groove)가 캐릭터 형성, 감정 전달 및 스 토리 전개에 미치는 영향을 분석하였다. 연구의 필요성 및 목적은 그루브가 단순한 리듬 적 요소를 넘어 서사의 긴장감 조성과 정서적 몰입에 기여하는 핵심적 역할을 규명하기 위한 목적으로 수행되었다. 연구 방법으로는 주요 장면 <Circle of Life>, <Hakuna Matata>, <He Lives in You>, <Be Prepared>를 대상으로 악보 분석 및 연출 관찰을 통해 그루브의 리듬적 특성과 서사적 기여를 심층적으로 탐구하였으며, 특히 리듬 구조, 악 기 구성, 음악적 동선 등을 분석하여 각 장면에서 그루브가 어떻게 구현되고, 캐릭터와 서사에 어떠한 영향을 미치는지를 실증적으로 검토하였다. 연구 결과는 그루브가 캐릭 터의 내면적 변화와 감정을 구체화하며, 주요 서사의 전환점에서 극적 긴장감을 조성하 는 중요한 역할을 수행하는 것으로 나타났다. 이 논문은 뮤지컬에서 그루브의 학문적· 실용적 의의를 강조하며, 뮤지컬 창작과 분석 과정에 기초 자료를 제공하였다.