고속도로의 제한속도는 교통류, 운행 시간, 에너지 소비, 교통사고 발생률 등에 직접적인 영향을 미치는 중요한 요인이다. 제한속도 의 상향 조정은 운행 시간 단축과 경제적 이점을 가져올 수 있지만, 교통사고 위험성을 높일 수 있으며, 반대로 하향 조정은 사고율을 감소시킬 수 있으나 운행 시간 증가와 교통 혼잡을 초래할 수 있다. 이러한 상반된 영향으로 인해 제한속도 조정이 도로 안전성과 효 율성에 미치는 구체적인 변화를 분석하는 연구가 필요하다. 본 연구는 미시교통시뮬레이션 도구인 VISSIM과 SSAM을 활용하여 제한 속도 및 교통량 변화에 따른 고속도로 구간별 상충횟수를 분석하고, 위험성이 높아지는 구간을 식별하였다. 이를 통해 향후 단속지점 설정과 구간별 맞춤형 개선방안 마련에 실증적인 근거를 제공하고자 한다.

Researching and estimating the ecological characteristics of target fish species is crucial for fisheries resource management. The results of these estimates significantly influence stock assessments and management reference points such as size limit and closed seasons. Recently, ecological characteristics have been changing due to overfishing, climate change, and marine pollution, making continuous estimation and monitoring essential. This study analyzed the ecological changes in small yellow croaker (Larimichthys polyactis) resources in Korea over 24 years (2000-2023) using biological data (growth and gonad traits). By estimating the annual length-weight relationship and length at maturity (L50 and L95), we interpreted the numerical trends of early maturation due to resource depletion. The parameter b of the length-weight relationship, indicating the nutritional status of the resources, showed a slight increase over the years, suggesting relatively good nutritional status (b > 3.0) during most periods. Trend analysis between length at maturity and biomass indicated that as biomass decreased, maturity length also decreased.

In this study, we explored the potential of the Maillard reaction-based time-temperature indicators (TTI) as a tool for predicting and visualizing moisture variations during high-temperature drying. Using activation energy analysis, we found that the Maillard reaction-based TTI could not only visualize but also predict changes in moisture contents during high-temperature drying of 60-80oC. The color changes of the Maillard reaction solutions were distinct enough to be discerned with the naked eye, transitioning from colorless to black via the shift of yellow, light brown, brown, and dark brown. The dynamic characteristics for the color change in the Maillard reaction solutions and the moisture changes in the drying of thin-layer apples could be expressed with high suitability using a logistic model. This suggests that the Maillard reaction-based TTI can potentially be a practical and reliable tool for predicting the moisture changes for the high-temperature drying of thin-layer apples, offering a promising avenue for future research and applications.

Al-Mg-Si alloys are light weight and have excellent corrosion resistance, and are attracting attention as a liner material for high-pressure hydrogen containers in hydrogen fuel cell vehicles. Because it has excellent plastic hardening properties, it is also applied to car body panel materials, but it is moderate in strength, so research to improve the strength by adding Si-rich or Cu is in progress. So far, the authors have conducted research on the intergranular fracture of alloys with excessive Si addition from the macroscopic mechanical point of view, such as specimen shape. To evaluate their impact tensile properties, the split-Hopkinson bar impact test was performed using thin plate specimens of coarse and fine grain alloys of Al-Mg-X (X = Cr,Si) alloy. The effect of the shape of the specimen on the characteristics was studied through finite element method (FEM) analysis. As a result, it was found that the intergranular fracture of the alloy with excessive Si depended on the specimen width (W)/grain size (d), which can be expressed by the specimen size and grain size. As W/d decreases, the intergranular fracture transforms into a transgranular fracture. As the strain rate increases, the fracture elongation decreases, and the fracture surface of the intergranular fracture becomes more brittle. It was confirmed that intergranular fracture occurred in the high strain rate region even in materials with small grain sizes.

흉골 자기공명영상 검사 시 호흡 등 환자 움직임에 의한 인공물 발생을 최소화하는 것은 어렵다. 하지만 자기공명영 상 검사는 타 영상 검사와 비교해 흉골 병변을 발견하는 데 있어 진단적 가치가 높은 장점이 있다. 따라서 본 연구에 서는 환자의 검사 자세 및 딥러닝 기법을 통해 최적의 검사 방법을 도출하고자 한다. 자세 별 영상 변화를 확인하기 위해 바로 누운 자세, 엎드린 자세, 유방 코일을 사용한 엎드린 자세로 진행하였으며, 고식적 기법의 영상과 Deep Resolve Boost(DRB) 기법을 적용한 영상을 비교 관찰하였다. 모든 대상에게 같은 조건으로 각 영상을 2회씩 획득 한 후 전반적인 영상 품질을 기준으로 정성적으로 평가하였고, DRB의 적용 여부에 따른 신호 대 잡음비의 변화 정도를 정량적으로 평가하여 개선 정도를 산출하였다. 정성적 평가에서 DRB 적용 여부와 무관하게 엎드린 자세, 유방 코일을 사용한 엎드린 자세, 바로 누운 자세 순으로 높은 점수를 얻었으며, DRB를 적용한 영상이 고식적 기법 의 영상보다 높은 점수를 얻었다. 또한 정량적 평가를 통해 유방 코일을 사용한 엎드린 자세, 엎드린 자세, 바로 누운 자세 순으로 높은 개선 정도를 확인하였다. 본 연구를 통해 흉골 검사 시 DRB 기법을 적용하는 것은 영상의 질을 높이는 방법임을 확인하였다. DRB를 적용하지 못하는 환경에서는 될 수 있으면 엎드린 자세를 적용하는 것을 권고하며, DRB를 적용할 수 있는 환경에서는 환자 측 인자를 고려하여 엎드린 자세와 유방 코일을 사용한 엎드린 자세를 모두 적용할 수 있다.

This study investigates the relationship between language learning strategy (LLS) preferences and AI writing tool use among 147 English as a Foreign Language (EFL) learners at a South Korean university. Participants were divided into two groups based on their preferred language learning strategies, as determined by the Strategy Inventory for Language Learning (SILL): memory/compensation strategies (Group 1) and metacognitive strategies (Group 2). The SILL survey was followed up with assessments on the participants’ use of AI writing tools and their reflections on how these tools were used in the writing process. Results revealed some minor correlations between specific strategy types and functions in AI writing tools— including preferences which suggest that metacognitive strategy users use AI writing tools for the development of ideas and structuring the writing process—but were limited due to individual learner variables which had not been measured. The findings provide directions for the consideration of language learning strategies when designing AI writing tools to create personalized and effective learning experiences.

In the study, a variation of Haemaphysalis longicornis, a major vector of fever-causing conditions, was statistically analyzed to identify the spatial and climatic factors affecting the time-dependent variations of its population. The survey occurred in different habitats in South Korea. In addition, we developed a predictive model by using a probability function to find the peak occurrence time annually. As a result, the numbers of adults and nymphs were found to be related to temperature and relative humidity and their population peaked at the end of May in all habitats except deciduous forests. This study is expected to provide information on habitat types, times, and climate patterns that require attention to help control H. longicornis populations.

This study investigates the impact of Bursaphelenchus xylophilus infection on the gut bacterial communities of the pine sawyer beetle, Monochamus alternatus, with a distinction between male and female individuals. Utilizing specific primers, we determined the infection status and analyzed the bacterial composition across different taxonomic levels. Regardless of infection status or sex, Proteobacteria and Firmicutes were found to dominate the phylum level, with significant contributions from Actinobacteria and Bacteroidetes. At the class level, Bacilli, Gammaproteobacteria, Alphaproteobacteria, and Actinobacteria emerged as prevalent groups. Meanwhile, the genus level was characterized by a high abundance of Lactobacillus, Rickettsia, Bacillus, and Rahnella. Our analysis of alpha diversity metrics, including Observed Species, Shannon Index, Inverse Simpson Index, and Phylogenetic Diversity, revealed no significant differences attributable to B. xylophilus infection; however, notable variations were observed between sexes. Principal Coordinates Analysis and Non-metric Multidimensional Scaling further underscored that the differences in gut bacterial communities were more pronounced between male and female beetles than between infected and uninfected individuals. These findings highlight the influence of host sex over infection status in shaping the gut microbiome of Monochamus alternatus, providing new insights into the complex interactions between host biology, gut microbiota, and pathogen infection.

본 연구는 8월에 한반도를 우회하며 동해상으로 빠져나간 2018년 제 19호 태풍 Soulik과 서해상으로 북진하여 통과한 2020년 제 8호 태풍 Bavi을 통해 태풍 유입 전‧후에 따른 한반도 해역별 수온 변동성을 분석하였다. 분석자료는 국립수산과학원 실시간 수온 자료와 수온관측소 근처 AWS의 바람자료 및 NOAA/AVHRR 위성 수온자료를 활용하였다. 분석 결과 이동경로가 다른 태풍이 한반도를 통과할때 동해에서는 풍속과 풍향에 따라 수온의 상승(북풍)과 하강(남풍)이 반복적으로 발생하였는데 특히 태풍 Soulik 유입 시 10 ℃ 안팎의 급격 한 수온 하강을 보였다. 서해는 태풍 Bavi의 중심부가 통과되면서 서해 일부 해역에서 수온이 상승되었고, 차가운 물덩어리가 존재했던 남 해 일부 해역에서도 태풍 Bavi의 이동으로 따뜻한 수온이 유입되어 평년 수온으로 회복된 것으로 나타났다. 또한 태풍 유입시 서해와 남해 는 지형적‧환경적 조건으로 인해 각 해역별 특성에 맞게 수온 변동이 다르게 나타났다. 본 연구를 통해 태풍으로 인한 한반도 해역별 수 온 변동을 해석함으로써 이상기후에 따른 양식 생물의 부정적인 영향을 최소화하고 해역별 수산재해의 피해대응 전략을 수립하는데 기여 할 것으로 사료된다.

소형 선박(<499 GT)이 전체 선박의 46%를 지배하고 있어 상대적으로 많은 CO2 배출가스를 가지고 있다고 결론지을 수 있다. 최 적의 Trim 조건에서 운전하면 선박의 저항을 감소시킬 수 있어 온실가스가 적게 발생할 수 있다. Trim을 최적화하는 가장 저렴한 방법 중 하 나는 최적의 Longitudal Center of Gravity(LCG)를 얻기 위해 무게 분포를 조정하는 것이다. 따라서 본 연구에서는 소형 선박의 저항에 대한 LCG 변화의 영향을 경험적 및 수치적 해석을 통해 연구하고자 한다. 선체를 설계하는 Savitsky 경험식은 Maxsurf Resistance의 방법으로 사용 된다. 수치해석에는 STAR-CCM+ 상용 CFD(Computational Fluid Dynamics) 소프트웨어가 사용되지만 최종적으로 선박 설계 과정 이후 최적의 LCG를 얻기 위해 전체 저항을 비교한다. 결론적으로 Froude Number 0.56에서는 수치해석에 의해 전체 길이(LoA) 46.2%에서 최적의 LCG를 달성하고 Froude Number 0.63에서는 43.4% LoA를 달성하여 29.2% LoA에서 기준점에 비해 최대 41.12% - 45.16%의 상당한 저항 감소를 얻을 수 있다.

Throughfall (TF)—as a diffusive hydrological water flux—significantly affects ecohydrological and biogeochemical processes within forest ecosystems. Recent investigations have revealed the impact on TF generation processes within unmanaged coniferous plantations of under-canopy structures, particularly those laden with dead branches, as well as upper-canopy structures. However, spatiotemporal variations in TF in such plantations remain unexplored. We investigated these variations in TF in a 33-year-old unmanaged Japanese cypress (Chamaecyparis obtusa Endl.) plantation, laden with dead branches, with a high stand density (SD) of 2,500 stems ha−1. Over a two-year period (May 2017 to May 2019), we conducted weekly TF measurements using 28 manual-type TF collectors. We compared the present TF ratio and canopy water storage capacity (S) with those of previous investigations conducted on Japanese cypress plantations. Moreover, we assessed key indices contributing to spatiotemporal TF variations (canopy cover: CC and distance to the nearest stem: TFd) and potentially influential dead branch indices (number of dead branches: TFdb and vertical spacing length on a stem: TFs) to elucidate TF spatial patterns. The results showed that the TF ratio was notably lower than that in previous studies (n = 13), with SD (r = –0.92, p < 0.001) and S (r = –0.87, p < 0.001) emerging as key influential factors among other stand-structure parameters. Spatial TF patterns exhibited a decreasing trend as the gross rainfall (GR) increased. Temporal stability was not significantly associated with CC (r = 0.120, p = 0.544), TFd (r = 0.068, p = 0.731), TFdb (r = 0.211, p = 0.281), or TFs (r = 0.206, p = 0.292) for any of the TF collectors. These findings underscore the important role of GR in determining the spatial variation of TF. Collectively, our results contribute to an enhanced understanding of TF spatiotemporal heterogeneity in unmanaged Japanese cypress plantations with dead branches.

To understand the spatiotemporal distribution pattern of zooplankton and the environmental factors influencing zooplankton abundance in Gomso Bay, major harvesting area of Manila clam (Venerupis philippinarum) in South Korea, zooplankton sampling was conducted four times in autumn (October 2022), winter (January 2023), early spring (March 2023), and spring (May 2023). Among the environmental factors of Gomso Bay, water temperature, chlorophyll a concentration (Chl-a), dissolved oxygen (DO), and pH observed different patterns, while salinity and suspended particulate matter (SPM) showed no significant statistical differences between the survey periods. The zooplankton in Gomso Bay occurred 33, 29, 27, and 29 taxonomic groups during each respective survey period. In October 2022 and May 2023, arthropod plankton were dominated, while in January and March 2023, protozoa were primarily dominant. Among the Arthropods, copepods including Acartia hongi, Paracalanus parvus s. l., Corycaeus spp., and Oithona spp. commonly found along Korean coastal areas of the Yellow Sea, were dominated. Cluster analysis based on zooplankton abundance indicated a single community (stable condition) in each season, attributed to low dissimilarity distances, while three distinct clusters (autumn, winter-early spring, spring) between seasons indicated a highly seasonal environment in Gomso Bay.

The levels of Indoor radon can increase in newly built apartments that mainly use construction materials such as concrete. However, radon measurement in newly built buildings has only been implemented recently, and there is a lack of sufficient data for radon management purposes. This study aimed to determine the levels of indoor radon in newly built apartments by regions, sizes of household, and floor (lower, middle, upper floor), and to explore the trend of radon reduction by time according to ventilation methods. Indoor radon was measured in 48 households in four regions (Gyeonggi-do and Gangwon-do). Measurements were performed for 48 hours and 24 hours under closed and ventilated conditions using real-time measurement devices FRD400 and RAD7, respectively. To analyze changes in radon concentration by floors, data were collected by dividing households into lower, middle, and upper floors according to their vertical height. The concentrations of indoor radon ranged from 12.1 Bq/m3 to 559.0 Bq/m3 when windows were closed and 12.0 Bq/m3~500.0 Bq/m3 when ventilated (including both mechanical and natural ventilation). On average, the concentration of closed conditions of household when sealed (arithmetic average 185.3 Bq/m3) was 1.5 times higher than the concentration during ventilation (including mechanical and natural ventilation: 123.8 Bq/m3), and around three times higher than the average for mechanical ventilation (65.7 Bq/m3). It was found that the indoor radon concentration statistically increased as the height increased and the size of the house became smaller. Typically, it took 7 to 8 hours to exceed the standard of 148 Bq/m3 after windows were closed. It decreased to less than 148 Bq/m3 within 3 to 4 hours after operating the mechanical ventilation system. However, in the case of natural ventilation, it takes more than 24 hours to reach below the standard value, and the concentrations stagnated after 24 hours. In conclusion, radon concentration in narrow spaces can be relatively high if ventilation is not sufficient due to the nature of apartments with wall-type structures. Therefore, it is necessary to prepare various radon reduction measures according to floor, size, and ventilation methods.

Long term variations of fish assemblage in the coastal waters of Bukchon-ri were determined using samples collected by trammel net from 2012 to 2022. Water temperature increased by 0.4℃ in 2022 that was less then 2012. During the survey period, a total of 95 species (53 families and 15 orders) of fishes were identified, Scorpaeniformes (five families and 22 species) and Perciformes (25 families and 39 species) accounted for 73% of the total number. The number of species was higher in summer than winter, showing a peak in summer at 66 species and lower in winter and autumn at 45 species. The number of individuals and the biomass peaked in summer at 1,238 individuals and 280.1 kg, and were the lowest in autumn at 597 individuals and 155.4 kg. The annual diversity index, evenness index and richness index were appeared 2.11-2.80, 0.64-0.80 and 4.70-7.34 at each years. The dominance index were appeared highest in 2014 while 2021 were appeared the lowest in 2017. The subtropical fishes were identified total of 38 species (40.0%) and the number of species was higher in 2022 at 22 (52.4%) species and lower in 2015-2017 at each 10 (31.3-37.0%) species. The dominant species of subtropical fishes were appeared rabbit fish (Siganus fuscescens), boxfish (Ostracion immaculatus), smallscale blackfish (Girella melanichthys), flag fish (Goniistius zonatus), stripey (Microcanthus strigatus), rock porgy (Oplegnathus punctatus), and bluestriped angelfish (Chaetodontoplus septentrionalis) in study sites.

This study aimed to assess and determine the optimal model for predicting the full bloom date of ‘Fuji’ apples across South Korea. We evaluated the performance of four distinct models: the Development Rate Model (DVR)1, DVR2, the Chill Days (CD) model, and a sequentially integrated approach that combined the Dynamic model (DM) and the Growing Degree Hours (GDH) model. The full bloom dates and air temperatures were collected over a three-year period from six orchards located in the major apple production regions of South Korea: Pocheon, Hwaseong, Geochang, Cheongsong, Gunwi, and Chungju. Among these models, the one that combined DM for calculating chilling accumulation and the GDH model for estimating heat accumulation in sequence demonstrated the most accurate predictive performance, in contrast to the CD model that exhibited the lowest predictive precision. Furthermore, the DVR1 model exhibited an underestimation error at orchard located in Hwaseong. It projected a faster progression of the full bloom dates than the actual observations. This area is characterized by minimal diurnal temperature ranges, where the daily minimum temperature is high and the daily maximum temperature is relatively low. Therefore, to achieve a comprehensive prediction of the blooming date of ‘Fuji’ apples across South Korea, it is recommended to integrate a DM model for calculating the necessary chilling accumulation to break dormancy with a GDH model for estimating the requisite heat accumulation for flowering after dormancy release. This results in a combined DM+GDH model recognized as the most effective approach. However, further data collection and evaluation from different regions are needed to further refine its accuracy and applicability.

This paper examines how consumers evaluate digital products with multiple Non-fungible Tokens (NFTs), which are blockchain-enabled cryptographic assets that represent proof-of-ownership for digital objects. The study predicts that people prefer fractioned NFTs (unique fractions of a digital object) versus duplicated NFTs (identical digital objects with distinct numbers) due to their preference for uniqueness. The study also examines the moderating role of product attributes, predicting that preferences for fractioned NFTs will be reduced when the product provides unique aspects, such as a serial number.

This paper is written as a follow-up observations to reinterpret the radial velocity (RV) of HD 36384, where the existence of planetary systems is known to be ambiguous. In giants, it is, in general, difficult to distinguish the signals of planetary companions from those of stellar activities. Thus, known exoplanetary giant hosts are relatively rare. We, for many years, have obtained RV data in evolved stars using the high-resolution, fiber-fed Bohyunsan Observatory Echelle Spectrograph (BOES) at the Bohyunsan Optical Astronomy Observatory (BOAO). Here, we report the results of RV variations in the M giant HD 36384. We have found two significant periods of 586 d and 490 d. Considering the orbital stability, it is impossible to have two planets at so close orbits. To determine the nature of the RV variability variations, we analyze the HIPPARCOS photometric data, some indicators of stellar activities, and line profiles. A significant period of 580 d was revealed in the HIPPARCOS photometry. H𝛼 EW variations also show a meaningful period of 582 d. Thus, the period of 586 d may be closely related to the rotational modulations and/or stellar pulsations. On the other hand, the other significant period of 490 d is interpreted as the result of the orbiting companion. Our orbital fit suggests that the companion was a planetary mass of 6.6 𝑀J and is located at 1.3 AU from the host.