As a key axis of metropolitan public transport, exclusive median bus lanes (EMBLs) are facing operational limits owing to urban expansion and increased traffic demand, with queues at bus stops during peak hours causing severe delays. This study aims to empirically identify the phenomenon of queue-based delays at the stop level, that is difficult to explain using conventional capacity calculation methods, and to propose an operational strategy for its mitigation. By realistically assessing passenger inconvenience through a revised “additional passenger travel time” calculation based on bus travel, this study provides a balanced analysis of the tradeoff between system efficiency and passenger convenience, thereby contributing to the development of sustainable urban transit systems. This study compared current all-stop operations with two skip-stop scenarios in Songpa-daero, a major arterial corridor in Seoul. Using an actual bus management system and transit card data, key performance indicators including queue length, travel time, dwell time, and additional passenger travel time were analyzed. Scenario I applied an A/B service-style alternating stop operation, whereas Scenario II implemented a hybrid approach, designating hub stops at key locations. Simulation modeling was used to evaluate the system-wide impacts during peak hours. The analysis revealed that skip-stop operations had significant potential to improve EMBL performance; however, the benefits were subject to a trade-off with passenger inconvenience. Scenario I with alternating stops was most effective in reducing the queue length and overall travel time. However, it also resulted in the largest increase in additional passenger travel time calculated with the revised methodology. In contrast, Scenario II with hub stops, while showing slightly less improvement in operational efficiency, presented a more balanced outcome by mitigating the burden of additional travel time for passengers through hub stops, thereby enhancing service equity. Both scenarios showed reduced dwell times at most stops, indicating the alleviation of boarding and alighting congestion. This study confirmed that skip-stop strategies could effectively improve the operational efficiency of EMBLs by reducing queue lengths and travel times. However, the additional passenger travel time, including bus transfers, is a critical factor that must be considered. Scenario I was evaluated as superior for maximizing the operational efficiency, whereas Scenario II was a better alternative for securing a balance with passenger convenience. This study is significant because it presents an analytical framework for quantifying queue-based delays and realistically assessing passenger impact. Although limitations remain, such as not fully capturing the complex decision-making processes of actual passengers, the methodology and findings offer practical guidance for urban transport planners seeking data-driven solutions to EMBL congestion, emphasizing the importance of the passenger perspective in skip-stop strategy design.

본 연구는 12주간의 맨손 근력운동 수행이 복부비만 여성노인의 혈청지질, 인슐린 및 C-peptide에 미치는 영향을 구명하기 위하여 운동군(EG, n=13), 대조군(CG, n=13)으로 구분하여 실시하 였다. 맨손근력운동 강도는 주관적 운동 자각도(rating of perceived exertion; RPE)를 사용하였으며, 1-4 주, RPE 12-13, 5-8주, RPE 13-14, 9-12주, RPE 14-15로 설정하여 주 3회, 1회 운동시간 60분 실시하 였다. 자료처리는 측정항목에 대한 평균값(M)과 표준편차(SD)를 산출하였고, 그룹 및 시기 간 상호작용 효 과검증은 two-way repeated measures ANOVA를 실시하였다. 상호작용 효과를 포함하여 필요에 따라 그 룹 내 시기 간 차이 검증은 paired t-test를 실시하였고, 그룹 간 차이 검증은 independent t-test, 각 항목 별 통계적 유의수준은 통계 방식에 따라 .05와 .025로 각각 달리 설정하였다. 그 결과, TG(p<.01) 및 HDL-C(p<.05)에서 상호작용 효과, 인슐린(p<.05) 및 C-peptide(p<.01)는 시기 간 주효과가 나타났다. 이 상의 결과, 12주간의 운동이 혈청지질 중 TG, HDL-C를 개선이 나타났고, 이는 혈관 및 대사 기능의 측 면에서 매우 중요한 결과라 생각된다. 하지만, 인슐린과 C-peptide에서는 운동군보다 대조군이 더 많이 증 가하여, 맨손근력운동에 대한 긍정적인 개선은 기대하기 힘들었다. 이는 복부비만 여성노인의 나이가 고령 임을 감안하였을 때, 비교적 짧은 저항운동 기간으로는 인슐린과 C-peptide의 변화를 기대하기 힘들다는 점을 시사한다. 하지만, 맨손근력운동은 노인이 부상의 위험없이 실시할 수 있으므로 후속 연구를 통해 다 양한 결과를 확인할 필요가 있다.

본 연구는 국가문화와 방한 관광객 소비패턴의 연관성을 규명하는 데 그 목적이 있다. 연구 결과, 방한 관광객의 관광소비행동은 국가별로 뚜렷한 차 이를 보였으며, 소비 항목별 지출 비중 등 소비패턴 또한 문화적 특성에 따라 다양하게 나타났다. 그리고 Hofstede의 6개 문화차원과 방한 관광객의 소비패 턴 간의 상관관계를 확인하였으며, Hofstede의 6개 국가문화차원 중 불확실성 회피, 장기지향성, 개인주의, 쾌락추구의 4개 문화차원이 방한 외래관광객들 의 총소비와 세부 소비항목 등 소비패턴에 유의미한 영향을 미치는 것을 확 인하였다. 본 연구는 국가문화와 방한 외래관광객 관광소비행동의 연관성에 대해 실증적으로 확인하였으며, 이를 바탕으로 관광 마케팅, 서비스 설계, 정 책 수립에 있어 문화적 접근의 중요성을 제시하였다.

The present study introduces a machine learning approach for designing new aluminum alloys tailored for directed energy deposition additive manufacturing, achieving an optimal balance between hardness and conductivity. Utilizing a comprehensive database of powder compositions, process parameters, and material properties, predictive models—including an artificial neural network and a gradient boosting regression model, were developed. Additionally, a variational autoencoder was employed to model input data distributions and generate novel process data for aluminum-based powders. The similarity between the generated data and the experimental data was evaluated using K-nearest neighbor classification and t-distributed stochastic neighbor embedding, with accuracy and the F1-score as metrics. The results demonstrated a close alignment, with nearly 90% accuracy, in numerical metrics and data distribution patterns. This work highlights the potential of machine learning to extend beyond multi-property prediction, enabling the generation of innovative process data for material design.

본 연구에서는 부산대학교 천문대(Pusan National University Observatory; PNUO)의 0.5m 망원경을 이용해 외 계행성을 가진 것으로 알려진 항성 TOI-3653의 식현상을 관측한 결과를 제시한다. 관측은 협정세계시(UT) 기준 2 02 4 년 8월 12일 15시 2 8분부터 2 .2시간 동안 진행되었으며, 수집한 관측 데이터를 전처리한 뒤 TOI-3653의 주변 비교성 을 사용하여 비교 측광함으로써 광도 곡선을 얻을 수 있었다. 이렇게 얻은 광도 곡선을 EXOFAST 프로그램을 이용해 모형 맞추기한 결과, 우리가 관측한 식현상에서 약 1.7%의 감광이 발생했으며 이를 통해 모형 의존성이 존재하나 TOI- 3653이 목성의 3.15배 크기의 외계행성인 TOI-3653 b을 지니고 있다고 통계적으로 유의미( 2 = 1.08)하게 결론을 내릴 수 있었다. 본 결과는 PNUO 0.5 m 망원경이 외계행성 식현상에 따른 미세한 광도 변화를 감지할 수 있음을 보여주며, 향후 외계행성 연구에 유용한 관측 장비로 활용될 수 있음을 시사한다.

관측 시상은 천체관측을 진행하는데 있어 중요한 요소 중 하나이다. 이 연구에서는 밀양아리랑우주천문대의 평 균 시상이 어느 정도인지, 그리고 그 시상이 계절에 따라 어떻게 변화하는지 살펴보았다. 이를 위해 밀양아리랑우주천 문대의 0.7m 망원경을 이용해 관측을 2 4회 진행했으며, 그 관측은 2 02 2년 6월부터 2 02 3년 5월까지 진행됐다. 그 결과, 측정된 밀양아리랑우주천문대의 연평균 시상은 3.1"±0.8"이었다. 계절별로는 여름철의 평균 시상이 2.2"±0.3"로 가장 좋 았으며 이어서 봄(2.8"±0.4"), 가을(3.1"±0.7"), 겨울(4.1"±1.1"), 순으로 시상이 좋았다. 이러한 결과는 부산에 위치한 한 국과학영재학교 천지인천문대에서의 시상 계절 변화와 비교해 논의했다. 추가적으로 시상이 풍속 및 미세먼지 농도와 관계가 있는지 조사해 보았으나, 뚜렷한 상관관계는 확인할 수 없었다. 향후에는 시상 관측 자료와 기상 정보를 장기적 으로 종합해, 시상에 영향을 미치는 주요 요인들이 무엇인지 보다 자세히 규명하고자 한다.

To reduce greenhouse gas emissions in the atmosphere, REDD+ is a representative nature- based c limate s olution. The i nternational c ommunity r ecognizes that the RED D+ program is the most cost-effective way to mitigate climate change. Furthermore, REDD+ can achieve the net zero target. Private corporations aiming to achieve the net zero target pay attention to REDD+ projects. The objective of this study was to analyze the use of the REDD+ mechanism as one of key strategies for private corporations to achieve the net zero target and to propose new strategies for corporations to realize the net zero target. By participating in the REDD+ project, private corporations can create social benefits such as carbon emission reduction and conservation of biodiversity. By fulfilling their social responsibility in efforts to address the climate crisis, individual corporations can generate additional revenue by selling verified carbon credits in the voluntary carbon market. However, the fact that the project is carried out over a long period and must comply with stringent implementation rules can act as a barrier to participate in REDD+ projects. Investment in the climate sector has been steadily increasing in recent ESG trend. Related technology development and improved transparency in the carbon market are being achieved, which may operate as an incentive for private corporations to take the REDD+ project into account for their strategies to achieve the net zero target.

본 연구는 생활지원사의 감사성향과 삶의 만족도 간의 관계에서 민감성이 조절변인으로서 어떠한 역할을 하는지를 분석하고, 이를 통해 정신건강 증진 방안을 모색하고자 하였다. K도에 거주하는 생활지원사 218명을 대상으로 자기보고식 설문조사를 실시하였으며, 수집된 자료는 빈도분석, 기술통계, 상관분석, 부트스트래핑 기반의 조절효과 분석을 통해 검토되었다. 연구 결과, 첫째, 생활지원사의 감사성향, 삶의 만족도, 민감성은 모두 중간 이상 수준으로 나타났 다. 둘째, 감사성향과 삶의 만족도, 민감성 간에는 유의한 정적 상 관관계가 확인되었다. 셋째, 감사성향이 삶의 만족도에 미치는 영향 에서 민감성의 조절효과가 통계적으로 유의한 것으로 나타났다. 이 러한 결과는 생활지원사의 삶의 만족도를 높이기 위해 감사성향 증 진뿐만 아니라 민감성 수준에 따른 맞춤형 정서관리 전략이 병행되 어야 함을 알 수 있다.

Sanghuang mushroom is highly valued for its medicinal potential, including anticancer, anti-inflammatory, and antioxidant activities, and has recently gained significant economic and pharmacological importance. Despite considerable taxonomic revisions within the genus Sanghuangporus, confusion persists in Korea due to the continued use of outdated names such as Phellinus linteus, P. baumii, and Inonotus baumii, as well as inconsistencies in common names. This study aimed to clarify the species diversity of Sanghuangporus in Korea through integrative approaches combining phylogenetic, morphological, and ecological analyses. Using four genetic markers (ITS, nLSU, RPB2, and TEF1), we analyzed 11 dried specimens preserved at the Seoul National University Fungus Collection and 74 fungal strains maintained by the Korean Agricultural Culture Collection. As a result, we identified eight Sanghuangporus species in Korea: S. baumii, S. mongolicus, S. quercicola, S. sanghuang, S. subbaumii, S. vaninii, S. weigelae, and a novel candidate species, Sanghuangporus sp. 1. Among these, S. mongolicus and S. quercicola were newly recorded species for Korea. By providing diagnostic traits and ITS barcode sequences, this study offers a reliable taxonomic framework for the accurate identification of Sanghuangporus species. It also supports future taxonomic studies, cultivar development, and applied research in pharmaceutical and functional bioactive materials.

This study develops a comprehensive road operation evaluation model that integrates the perspectives of three principal stakeholders: road users prioritizing congestion mitigation, operators emphasizing investment efficiency, and policymakers advocating broader societal goals such as carbon reduction. The analysis database was constructed using traffic data obtained from reliable sources, including the Korea Transport Institute's Big Data Center and Suwon City's Urban Safety Integration Center. Binary logistic regression was employed to identify the factors influencing traffic congestion from the users’ perspective, whereas multiple linear regression models were used to analyze road investment efficiency from the operators’ viewpoint and carbon dioxide emissions from the policymakers’ standpoint. Statistical analyses were conducted on 4,322 road segments in Suwon City, with each evaluation criterion assigned an equal weight of 33.3 points in a unified 100-point scoring system. The analysis identified 15 statistically significant indicators affecting the three evaluation criteria, with the resulting models demonstrating strong explanatory power, evidenced by adjusted R² values of 0.197, 0.593, and 0.544 for traffic congestion, road investment efficiency, and carbon dioxide emission models, respectively. A volume-to-capacity (V/C) ratio of 0.64 was determined to represent the optimal balance point at which the requirements of all stakeholder groups align. When applied to Suwon City's arterial road network, the model identified 248 high-congestion segments (53.13 km), 203 segments with low investment efficiency (26.8 km), and 357 segments with high carbon emissions (156.33 km), each requiring targeted operational improvements. The proposed model addresses the limitations of existing single-stakeholder evaluation frameworks by offering transportation authorities a systematic and multi-dimensional approach to road operation assessment.

Sixty dried agricultural products were collected from February to July 2024. Among these, 16 samples were randomly purchased from large supermarkets and local markets in Gwangju, and 44 were obtained from online marketplaces. Only products labeled with phrases such as “No Food Additives” or “100% Raw Ingredients” were selected for analysis. The aims of this study were to determine the concentrations of sulfur dioxide, preservatives, artificial colorants, and toxic heavy metals (lead and cadmium) in dried agricultural products, assess their risk indices, and provide foundational data to establish relevant regulatory standards. The results revealed that sulfite compounds were detected in some samples, with the highest sulfur dioxide concentrations found in gourds (82.99- 1046.95 mg/kg), apricots (10.87-529.45 mg/kg), and konjac powder (23.59-475.92 mg/kg). The highest sulfur dioxide risk index was observed in persimmons, with values ranging from 4.74% to 16.61% for male and 6.26% to 26.84% for female consumers. Sweet potatoes followed, with risk index values of 6.87% and 11.29% for male and female consumers, respectively. All the samples exhibited sulfur dioxide risk indexes below 100%, indicating safety. No preservatives or artificial colorants were detected in any of the samples, suggesting that sulfites can be used as alternatives to preservatives in certain products. The concentrations of lead in dates (9.55-137.09 μg/kg) and gourds (10.76-49.14 μg/kg) and cadmium in gourds (16.36-51.76 μg/kg) were within safe limits, with risk indexes below 100%. This study provides crucial baseline data for evaluating the safety of dried agricultural products. Furthermore, it underscores the need for more comprehensive risk assessments that consider the interactions between sulfur dioxide, heavy metals, and consumption patterns. Lastly, it highlights the necessity of strengthening regulatory standards to better protect consumers.

This study was analyze the causes of mortality to be used as basic data to fine ways to reduced the mortality rate of stocked Holstein calves. This study was used on 917 Holstein calves stocked at a fattening farm. Of the 917 stocked calves, the head of mortality was the 33 and a calf mortality rate was 3.6 %. A results of investigating the caused of mortality by disease, respiratory disease was 17 heads (51.52%), digestive disease was 12 heads (36.36%), other diseases was 3 heads (9.09%), and accidental death was 1 head (3.03%), major caused of calf mortality was resporatory and digestive disease acoounted for 87.9% of all. A head of mortality was 30 (90.91%) when the number of transports until stocking 2 times over compared with 1 time. Season has a significant effect on calf mortality, with calves in winter experiencing the highest (13 heads, 39.39%) mortality compared to other seasons. Comparing mortality rates based on stocking age, the highest (13 heads, 39.39%) mortality rate was observed in calves stocked at under 90 days of age, compared to other age groups. Comparing mortality rates based on the feeding age, the highest (18 heads, 54.54%) mortality rate was observed in calves fed for under 60 days, compared to those fed for over 60 days and other feeding age groups.

차 사고는 현재 계절별 정책(예: 노면 결빙, 강수 등)과 주·야간에 따른 대응이 이루어지고 있으나 자전거사고는 이러한 계절별 특성을 반영한 연구와 정책이 부족한 상황이다. 현재 대부분의 자전거사고 분석은 인적 요소(안전 장구 미착용, 중앙선 침범 등)에 초점이 맞춰지고 있다. 그러나 자전거사고 또한 계절별로 도로 특성이 달라짐에 따라 위험 요소가 달 라진다. 여름철에는 강과 인접한 지역이 미끄럽거나 물이 고여있어 위험할 수 있고, 겨울철에는 경사가 심한 지역이 더 욱 위험할 수 있다. 또한, 위험 구간은 주간과 야간에 따라서도 다르게 산정될 수 있다. 현재 계절과 시간대에 따른 자전 거도로 안전성을 분석한 선행 연구가 없기에 이를 분석하고 지도로 시각화해볼 필요가 있다. 이 연구를 통해 날씨와 시 간대별로 위험한 자전거도로 구간을 사전에 도출하여 시민들에게 더욱 안전한 자전거도로 이용이 가능하도록 돕고자 한 다.