In this study, we propose a data-driven analytical framework for systematically analyzing the driving patterns of autonomous buses and quantitatively identifying risky driving behaviors at the road-segment level using operational data from real roads. The analysis was based on Basic Safety Message (BSM) data collected over 125 days from two Panta-G autonomous buses operating in the Pangyo Autonomous Driving Testbed. Key driving indicators included speed, acceleration, yaw rate, and elevation, which were mapped onto high-definition (HD) road maps. A hybrid clustering method combining self-organizing map (SOM) and k-means++ was applied, which resulted in eight distinct driving pattern clusters. Among these, four clusters exhibited characteristics associated with risky driving such as sudden acceleration, deceleration, and abrupt steering, and were spatially visualized using digital maps. These visualizations offer practical insights for real-time monitoring and localized risk assessment in autonomous vehicle operations. The proposed framework provides empirical evidence for evaluating the operational safety and reliability of autonomous buses based on repeated behavioral patterns. Its adaptability to diverse urban environments highlights its utility for intelligent traffic control systems and future mobility policy planning.

Autonomous vehicles are widely expected to be commercialized in the near future. This would naturally lead to situations in which existing vehicles and autonomous vehicles would be on the road at the same time, which would pose a notable hazard to traffic safety. From this perspective, high-risk factors relating to this deployment should be identified to prepare measures to promote traffic safety. However, at this point, deriving high-risk factors based on actual data is problematic because autonomous vehicles have not yet been widely commercialized. In this study, we derive high-risk factors that would apply if autonomous vehicles were allowed to drive alongside vehicles driven by humans using a meta-analysis. We synthesized factors related to autonomous vehicles mentioned in the relevant literature. An analysis was conducted based on a total of 58 documents according to five keywords related to autonomous vehicles (crash factors, scenarios, predictive models, laws, and regulations). We also performed a binary meta-analysis of factors related to autonomous vehicles according to these keywords and a meta-analysis of effect size according to the relative size of factors to evaluate them comprehensively. We found that many different aspects of driving such as navigating intersections, lanes, fog, rain, acceleration and deceleration, rear-end collisions, inter-vehicle spacing, and pedestrian collisions were notable as high-risk factors. This study provides basic data to identify high-risk factors to support the development of related prediction models.

This study analyzes the impact of climate change on the performance of continuous reinforced concrete pavement (CRCP) and proposes a method to improve the existing KPRP–CRCP design procedure. Our analysis of monthly mean temperature data from the Seoul Meteorological Station revealed a general increase in temperature from 2001 to 2034, with a more significant increase observed during summer and winter. The existing KPRP–CRCP design method uses the drop temperature (DT) as a key variable. Notably, the increasing monthly mean temperatures owing to climate change tend to decrease the DT that in turn lowers the maximum stress on the pavement slab. This leads to a significant problem: if the traditional design method based on outdated data is used, the predicted number of punchouts will be lower than expected. This can result in an over-reduction in the reinforcement ratio and slab thickness, leading to premature failure and increased maintenance costs. To solve this issue, we introduced a predictive model for the final setting temperature that accounts for monthly and regional characteristics. Applying this model showed that as the temperature increased, the DT and maximum stress proportionally increased. This provided a more realistic prediction of the number of punchouts and addressed the flaws of the existing design method. Furthermore, our analysis of punchout counts based on the construction start month using this predictive model revealed that punchouts were more frequent in summer (July–August) and less frequent in winter (January–February). Based on this, we determined that the optimal seasons for placing continuous reinforced concrete pavements were spring (March–June) and fall (September–November). In situations where the actual construction start month was unknown, we recommended using a conservative design approach based on the design in August, when punchouts were most likely to occur.

본 연구는 최근 치러진 선거에서 세대균열이 투표선택에 영향을 미치 고 있는지를 경험적으로 검증하는데 목적이 있다. 특히, 세대를 청년세 대, 중년세대, 장년세대로 구분하고, 다시 세분화하여 여섯 세대로 구분 하여 검증하였다. 제19대 대통령선거부터 제22대 국회의원선거를 분석한 결과, 본 연구는 세대가 한국 선거에서 나타나고 있지만, 아직 지역이나 이념을 대체할 만한 주요 변수로 보기는 어려웠다. 그러나 세대 간 투표 선택에 차이가 나타난 점은 앞으로 선거에서 세대균열에 주목할 필요가 있다고 할 수 있다.

본 연구는 불안 애착과 회피 애착이 음주 동기에 미치는 영향에서 고 통 감내력(또는 고통 과잉 감내력)과 정서조절 곤란의 매개 효과를 검증 하였다. 성인 355명을 대상으로 한 설문 결과, 불안 애착은 정서조절 곤 란~음주 동기와는 정적 상관을, 고통 감내력과는 부적 상관을 보였다. 회피 애착은 고통 과잉 감내력~정서조절 곤란과 정적 상관을 보였으나, 음주 동기와는 유의하지 않았다. 매개분석 결과, 불안 애착과 음주 동기 사이에서 정서조절 곤란은 단독 매개를, 고통 감내력-정서조절 곤란은 순차적 매개 효과가 확인되었다. 반면, 회피 애착과 음주 동기 사이에서 는 고통 과잉 감내력과 정서조절 곤란의 단독 및 순차적 매개 효과가 나 타났고, 회피 애착이 음주 동기에 미치는 직접 효과는 유의하지 않아 완 전 매개로 확인되었다. 마지막으로 본 연구의 시사점과 한계점을 논의하 였다.

본 연구는 장애인을 대상으로 한 국내 인공지능(AI) 활용 연구의 동향 을 파악하고, 향후 연구 방향을 제시하기 위해 체계적 문헌고찰을 실시 하였다. 학술연구정보서비스(RISS)를 활용하여 2001년부터 2025년까지 학위논문과 학술지를 대상으로 ‘장애’와 AI 관련 주요 키워드를 검색하 고, 선정 기준에 따라 최종 99편을 분석하였다. 분석 결과, AI 기술은 주 로 보조기술·알고리즘·서비스 개발(56.6%)과 중재 프로그램 개발(20.2%) 에 활용되고 있었으며, 연구 방법으로는 개발연구(71.7%)가 가장 많았다. 연구 대상은 자폐성장애, 시각장애, 인지장애 순으로 많았고, 실험연구 16편에 대한 심층 분석 결과, 독립변인은 인공지능 기반 교육 프로그램, 수업 활용, 중재 전략, 교수 전략 등이었으며, 종속변인은 언어 및 의사 소통 능력, 사회·정서 및 학업 태도 등과 관련되는 것으로 나타났다. 본 연구는 국내 장애인 대상 AI 연구의 현황을 고찰하고 향후 장애인의 삶 이나 재활에 도움을 줄 수 있는 도구 및 프로그램 개발에 기초 자료를 제안하고자 한다.

본 연구는 청년들의 개인적‧사회적 맥락 속에서 증가하는 비관적인 미 래에 주목하여 절망의 위험요인과 보호요인을 탐색하였다. 온라인으로 수집된 청년 515명을 대상으로 스트레스 취약성 모델을 바탕으로 음주와 절망의 관계를 검증하고, 스트레스 완충 모델에 따라 사회적 지지의 조 절효과를 분석하였다. 분석결과, 첫째, 청년의 음주는 절망을 높이는 것 으로 나타났다. 둘째, 청년이 인식한 사회적 지지는 절망을 낮추는 것으 로 확인되었다. 셋째, 청년의 음주와 절망의 관계에서 사회적 지지의 조 절효과는 유의하였다. 이상의 결과는 스트레스 취약성 모델과 스트레스 완충 모델을 지지하는 바이며, 청년들의 절망적 상황 개입 시, 개인적 차 원에서는 음주와 같은 회피성 대처를 지양하고, 사회적 차원에서는 사회 적 지지를 증진할 수 있는 제도나 정책이 필요함을 시사하였다. 끝으로 본 연구의 한계를 밝힌 뒤, 후속연구를 위한 제언을 하였다.

Wood ear mushrooms (Auricularia heimuer) are commercially used in various fields in South Korea. Therefore, it is necessary to take appropriate measures, including monitoring and prevention of microbial growth in cultivation houses, as microorganisms can reduce the wood ear mushroom’s marketability and cause food poisoning among consumers. Therefore, this study was conducted to evaluate the direct impact of airborne fungi isolated and identified from the indoor air of domestic wood ear mushroom cultivation houses on the mycelia growth of wood ear mushroom strains. For the evaluation, 11 airborne fungal species were tested with three strains of A. heimuer on PDA using the cocultivation method. Among them, Alternaria alternata, Cladosporium anthropophilum, Cochliobolus kusanoi, Lecanicillium sp., Periconia byssoides, and Periconia pseudobyssoides suppressed the mycelial growth of all three A. heimuer strains. There was no significant difference in the reaction against the 11 tested airborne fungal species among the three A. heimuer strains. The results of this study show that proper management of airborne fungi is necessary in the indoor environment of wood ear mushroom cultivation houses.

Stem rot symptoms were recently identified in greenhouse-cultivated paprika (Capsicum annuum L.) in Hwaseong, Korea, with the causal pathogen determined to be Rhizopus stolonifer. Diseased stem samples displaying water-soaked lesions and abundant black mold growth were collected for pathogen isolation. The fungus demonstrated rapid mycelial growth and typical sporangium formation on Potato Dextrose Agar (PDA), and its morphological characteristics were consistent with those of R. stolonifer. Temperature assays indicated optimal mycelial growth at 20–30℃. Artificial inoculation using a spore suspension (2 × 10⁶ spores/㎖) on pruning wounds replicated the characteristic soft rot symptoms and stem collapse within 10 days. The fungus was re-isolated from the affected tissues and confirmed again as R. stolonifer, thereby definitively establishing its pathogenicity and fulfilling Koch’s postulates. Molecular identification through 28S rDNA sequencing (668 bp) and phylogenetic analysis further supported the isolates as R. stolonifer. To our knowledge, this is the first report in Korea indicating that Rhizopus stolonifer, though commonly recognized as a postharvest pathogen, can also cause stem rot in greenhouse paprika via pruning wounds during cultivation. These findings emphasize the potential risk of disease spread under climate change and highlight the necessity for integrated management strategies throughout both cultivation and postharvest phases.

Desmidiales (Conjugatophyceae, Charophyta) are commonly found in freshwater ecosystems and exhibit high species diversity, particularly in acidic wetlands, lakes, swamps, and peat bogs. They possess a distinctive morphology characterized by symmetrical semicells, and their wide variation in cell shape and size presents challenges in species identification due to high morphological plasticity. Although 832 species of Desmidiales have been reported in Korea, phylogenetic studies have been limited to only a few taxonomic groups. This study focused on investigating species-level relationships among Desmidiales using strains from the Freshwater Bioresources Culture Collection (FBCC), integrating morphological characteristics, ecological data, and original species descriptions. A total of 352 new plastid gene sequences were generated for phylogenetic analyses, including accD (30), atpA (42), atpB (22), ndhH (37), petA (37), psaA (32), psbA (44), psbC (1), psbD (39), rbcL (40), rpl2 (19), and rpoB (9). Among the 12 plastid genes analyzed, psbA showed the highest proportion of conserved sites (83.9%), while petA exhibited the highest proportion of variable sites (38.7%). Based on the combined phylogenetic analysis, Desmidiales were grouped into five major clades: Cosmarium Clade-1: Cosmarium punctulatum, Cosmarium sp. 1, Cosmarium Clade-2: C. blyttii, C. botrytis, C. costatum, C. ochthodes, C. pachydermum, C. subcostatum, C. subcrenatum, C. subprotumidum, C. trilobulatum, Cosmarium Clade-3: C. angulosum, C. formosulum, C. granatum, C. impressulum, C. norimbergense, C. regnellii, C. subtumidum, Cosmarium sp. 2, Staurastrum Clade-1: Staurastrum avicula var. lunatum, Staurastrum Clade-2: S. boreale, S. dispar, S. kouwetsii, S. margaritaceum, S. punctulatum. The newly generated sequence data from FBCC strains will serve as a valuable resource for accurate species identification and for exploring the molecular ecology of Desmidiales in freshwater ecosystems. This phylogenetic framework improves our understanding of Desmidiales species diversity in Korea and aids in achieving a more comprehensive taxonomic resolution within this algal order.

경기지역에서 토마토뿔나방의 발생이 16시군에서 확인되었으며, 3월부터 발생이 시작되어 5월 중순부터 밀도가 증가하고 7월 상순에 최고 수준에 도달한 후, 작기 전환에 따라 밀도가 급감하는 경향을 보였다. 유충 방제용 화학농약을 선발하였으며, 효과적인 방제를 위해 살포 주기 설정 과 체계처리 등 추가 연구가 필요하다.

This study evaluated the effects of supplementing sawdust medium with 10% (w/w) Korean-style soy sauce residue (KS) and brewed soy sauce residue (BS) on the cultivation of Pleurotus ostreatus. Over 25 days, KS treatment produced mycelial growth comparable to the control, whereas BS treatment showed slower colonization. Fruiting bodies appeared after nine days in the control, ten days with BS, and twelve days with KS, with fresh weights of 146.0 g, 174.8 g, and 89.0 g, respectively, indicating reduced yield with KS and increased yield with BS. In antioxidant assays, DPPH radical scavenging slightly increased from 89.15% in the control to 89.99% with KS and 90.34% with BS. ABTS scavenging was 82.36% in the control, 83.42% with KS, and 75.99% with BS. Total polyphenol content was 64.39 mg AAE/mL in the control, 62.72 mg AAE/mL with KS, and 43.28 mg AAE/mL with BS. In conclusion, KS supports mycelial growth without compromising DPPH-based antioxidant capacity, while BS enhances fruiting body yield but reduces ABTS activity and phenolic content. Both residues show potential as supplementary nutrients in conventional sawdust media.

A new oak mushroom cultivar Lentinula edodes ‘Eomjisong’ (LE23734), was developed by crossing the dikaryotic and monokaryotic strains of ‘KME36298’ and ‘KME36288-1’, respectively. The optimal temperature for mycelial growth of ‘Eomjisong’ on potato dextrose agar was 23–27°C, and was 15–20°C for fruiting body development. The cultivation period of ‘Eomjisong’ was 131 days, which was 3 days shorter than that of the control cultivar ‘Hanacham’. Morphologically, ‘Eomjisong’ showed stipe length and thickness similar to those of ‘Hanacham’, however, the pileus was larger and thicker. Furthermore, the pileus of ‘Eomjisong’ exhibited higher brightness than that of ‘Hanacham’. Productivity tests showed that the total yield of ‘Eomjisong’ reached 555 g, which was approximately 25.6% higher than that of ‘Hanacham’ (442 g). These findings indicate that ‘Eomjisong’ is a promising cultivar with enhanced productivity and morphological advantages over ‘Hanacham’, suggesting its potential for commercial cultivation.

Mycelium-based leather is a promising sustainable material that offers a biodegradable and animal-free alternative to conventional leather. However, ensuring its consistent quality during mass production remains a significant challenge owing to variability in biological growth and vulnerability to contamination. This study investigated the effects of surface modification and plasticization treatments on the structural and chemical properties of mycelial mats. Structural and chemical profile alterations were evaluated using hyperspectral imaging (HSI), Fourier-transform infrared spectroscopy, and scanning electron microscopy. HSI effectively detected these changes and surface defects nondestructively. It enabled precise differentiation between treated and untreated regions, thus supporting rapid and spatially resolved quality inspection. These results highlight the potential of HSI as an effective tool for evaluating the effects of pretreatment and monitoring contamination in mycelium-based leather production.

Existing reinforced concrete building structures have seismically-deficient details on columns and beam–column joints; therefore, accurate modeling of structural behavior is required for reliable seismic performance assessment. This study aims to investigate the differences in dynamic responses resulting from modeling variations through developing four distinct numerical models. Separate models were established to simulate flexural and shear failures of columns and beam–column joints. Using these component-level models, a structural analysis model of the target building was constructed, and nonlinear time-history analyses were performed to evaluate seismic performance. Based on the simulated dynamic behavior of the target building, soft-story mechanisms were identified, and it was identified and confirmed that column behavior plays a dominant role in governing the overall structural response.

본 연구는 한국 해상풍력 입지의 태풍 리스크를 정량적으로 평가하고, 독립적으로 산출한 태풍 위험 지수와 관측기반의 해상 극한풍속을 비교 및 검증하는 것을 목적으로 한다. 기상청의 61년간 태풍 자료(경로, 폭풍반경, 중심기압)를 활용해 변수 중요도 정규 화 및 가중치를 적용하였으며, GIS 공간분석을 통해 격자별 태풍 위험 지수(TRS: Typhoon Risk Score)를 산출하였다. 이를 기반으로 허가된 99개 해상풍력 프로젝트 입지의 TRS를 평가한 결과, 14개 지역(14.1%)이 고위험(TRS > 0.7)으로 분류되었다. 기상청에서 운 영 중인 전국의 9개 해양부이 장기 관측자료를 활용하여 극한풍속을 산출하여 TRS와의 상관도를 분석하였다. ERA5 재해석자료로 장 기 보정된 극한풍속은 TRS와 0.7 이상의 높은 상관성을 보였다. 이는 본 연구에서 61개 태풍 정보로 산출한 TRS가 유의미한 분석결 과를 나타내며, 국내 해상풍력 사업자들의 프로젝트 입지 선정에 좋은 참고자료가 될 수 있음을 시사한다.

This study proposes empirical formulas for predicting the nonlinear behavior of GIR beam-to-column connections in timber structures to evaluate their structural performance. A database comprising 59 experimental results of GIR connections was collected, and the normality of data distribution was verified. Statistical analysis were conducted to investigate the correlations between input and output parameters. Based on input parameters with high correlation, derived variables were formulated and utilized in a multiple regression analysis to develop empirical formulas for moment capacity and rotation. The R-squared values of the proposed formulas exceeded 0.9, and the predicted initial stiffness and strength closely matched those of experimental results not used in the regression analysis. So the suggested empirical formulas exhibit excellent predictive performance for the nonlinear behavior of GIR beam-to-column connections in timber structures.