Atmospheric characterization has become a crucial area of study for exoplanets. The exoplanets known as ultra-hot Jupiters (UHJs) offer a natural laboratory for studying extreme atmospheric physics that cannot be observed in the solar system. One way to analyze their atmospheres is by transmission spectroscopy. However, it can be challenging to obtain such information because a planet’s signal is too weak compared to that of its host star, resulting in the planetary contribution to the observed spectrum being negligible. Therefore, the minimum observational requirements must be assessed first to distinguish the planetary signal from the stellar one to study these planets. In this context, we obtained the transmission spectra of UHJs TOI-1431 b and WASP-189 b by observing each exoplanet for one night with BOAO Echelle Spectrograph (BOES) on the 1.8 m telescope at Bohyunsan Optical Astronomy Observatory (BOAO). We searched for various chemical species by cross-correlating the exoplanetary spectra with model synthetic spectra. Our search for atmospheric signal returned a detection confidence level less than 3 σ for both targets. Therefore, we applied model injection to recover the atmospheric signals of the planets and assessed the minimum signal-to-noise ratio (S/N) to achieve 5 σ detection. During our search, we successfully recovered the planet signals with detection significances of 5.11 σ after a 750% injection of the model signal for TOI-1431 b and 5.02 σ for a 90% injection forWASP-189 b. These signal injection exercises suggest that a higher S/N of the transmission spectra is required to detect the planetary absorption features, and this can be done by stacking data from the observations of more than three cycles of the transit of a planet with a small-scale height such as WASP-189 b at BOAO facilities.

Due to cognitive differences, traditional perceptual engineering (KE) frequently relies too heavily on designers' experience in analyzing customers' emotional demands, which can result in product designs that deviate from users' expectations. This work suggests a thorough evaluation approach that combines the particle swarm optimization-support vector regression (PSO-SVR) model and perceptual engineering to increase the scientificity and precision of design choices. The approach first determines the subjective weights of users' emotional needs using spherical fuzzy hierarchical analysis (SFAHP). Next, it uses the entropy weighting method to determine the objective weights. Finally, it combines the subjective and objective data using game theory to produce a more rational evaluation system. Finally, the emotional prediction model based on PSO-SVR is constructed to realize the accurate mapping between emotional needs and design features. The empirical study shows that“speed”, “dynamic”and“luxury” are the core emotional demands of users, and the algorithm's prediction results are highly consistent with users' actual evaluations, which strongly verifies the accuracy of the model. Compared with the traditional KE method, the model better integrates subjective experience and objective data and provides more practical support for the design of flybridge yachts.

With the rapid development of economic globalization and the shipping industry, seafarers have been working at sea for a long time, facing psychological problems such as loneliness, depression, and frustration, which pose serious threats to their physical and mental health. The occurrence of psychological symptoms among crew members during their service on board and during their vacations was analyzed through psychological surveys. Research has found that crew members are prone to psychological problems such as obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, hostility, and paranoia during their time on board. The two stages with a relatively high probability of developing psychological problems are: one month and 3-6 months after starting working on board. In response to these issues, some onboard management measures and shore-based support measures have been proposed.

With the increasing demand for energy conservation and emissions reduction in the shipping industry, suctionbased turbine sails have emerged as a novel wind energy utilization technology and have become a research hotspot. This study focuses on the aerodynamic performance of suction-based turbine sails with the aim of investigating the effects of suction intensity and suction port position on their aerodynamic characteristics. By employing Computational Fluid Dynamics (CFD) numerical simulations using the Re-Normalization Group (RNG) k–ε turbulence model and the SIMPLE algorithm, this study provides a detailed analysis of lift and drag coefficients, pressure distribution, and vorticity distribution under various combinations of suction intensity (γ) and suction port position (α). The results show that variations in suction intensity significantly affect the lift and drag characteristics of the turbine sail, while changes in the suction port position directly influence the attachment and separation behavior of airflow on the sail surface. Furthermore, a synergistic effect is observed between γ and α—their interaction not only alters the flow distribution but also plays a critical role in determining the overall performance of the turbine sail.By comprehensively considering the influence of these two factors, the study draws key conclusions for optimizing the design of suction-based turbine sail, providing valuable theoretical insights and technical guidance for their practical application in wind-assisted marine propulsion.

A new spider species of the genus Pholcus Walckenaer, 1805, Pholcus osaek sp. nov., in the family Pholcidae C.L. Koch, 1850, is described from Korea. This new species belongs to phungiformes-group in the genus. It can be distinguished from its congeners by the shape and structure of genital organs of both males and females. It is found on and between rock walls in mountainous mixed forests. Additionally, the taxonomic status of Pholcus uksuensis Kim & Ye, 2014 is revalidated, re-diagnosed, and redescribed based on specimens collected from the type locality. Considering differences mentioned in the diagnosis through revalidation, P. uksuensis is regarded as a distinct species. Therefore, it should be removed from the synonymy of P. woongil Huber, 2011.

This study aims to develop an AI-based analysis system that aligns with the international trend of AI legislation, including the EU's AI Act, while also addressing the analytical needs of the public sector. The focus is on providing timely and objective information to policymakers and specialized researchers by exploring advanced analytical methodologies. As the complexity and volume of data rapidly increase in the modern policy environment, these methods have become essential for governments to obtain the objective information needed for critical decision-making. To achieve this, the study integrates machine learning, natural language processing (NLP), and Large Language Models (LLM) to create a system capable of meeting the analytical demands of government entities. The target dataset consists of “quantum” field data collected from South Korea's National R&D Information System (NTIS). Machine learning was applied to this data to assess the validity of the analysis, while BERTopic, a natural language analysis package, was used for text analysis. With the introduction of LLMs, the extracted information from machine learning and natural language analysis was not merely listed but also connected in meaningful ways to provide policy insights. This approach enhanced the transparency and reliability of AI analysis, minimizing potential errors or distortions in the data analysis process. In conclusion, this study emphasizes the development of a system that enables rapid and accurate information provision while maintaining compatibility with international AI regulations such as the AI Act. The use of LLMs, in particular, contributed to enhancing the system’s capabilities for deeper and more multifaceted analysis.

This study aims to prepare reference data that can be used to improve the size suitability of elderly men’s casual wear. The sizes of men aged 65–84 from the 8th Size Korea were analyzed and compared with those aged 45–54. First, as a result of classifying their body types according to Syzing systems for male adult’s garments (KS K 0050), more than 50% of the drop body types were “a protruding belly type (BB),” and more than 95% of the lower body types were “a thick waist type (B).” Additionally, elderly men with type BB or B were 3–5cm shorter in height, waist height, chest circumference, and hip circumference than middle-aged men. As there are currently only a few brands for elderly men, this means that the following problems may arise: If an elderly man wears a middle-aged man’s top based on his chest size, the chest and hip circumferences are adequate, but the length is insufficient, the waist circumference is insufficient, and the shoulder width is considered to be excessive. Similarly, pants designed to fit a waist size designation for middle-aged individuals will be larger than intended in terms of length, hip circumference, and thigh circumference.

본 연구에서는 국내에서 판매되는 24개 건어포 및 조미 건어포 제품의 종 판별 및 표시사항 준수 여부를 평가했 다. 이러한 수산가공품에 사용된 원재료의 종판별을 위해 cytochrome c oxidase subunit I 및 cytochrome b 유전자 의 염기서열을 분석하여 NCBI GenBank 및 BOLD 데이 터베이스에 등록되어 있는 생물종의 염기서열과 비교 후 계통 분석을 수행했다. 분석 결과 13개 종(Hyporhamphus quoyi, Gadus chalcogrammus, Lophius litulon, Conger myriaster, Paramonacanthus pusillus, Hyporhamphus sajori, Gadus macrocephalus, Hoplobrotula armata, Callionymus meridionalis, Liparis tanakae, Dosidicus gigas, Lagocephalus cheesemanii, and Takifugu vermicularis)이 확인되었다. 일반 명(장어, 오징어 등)을 포함할 경우 16개 제품(66.7%)에서 표시사항과 판별된 종 간에 불일치가 확인되었으며, 일반 명을 제외할 경우 불일치 비율은 41.7%로 감소했다. 식품 유형별로는 조미건어포 제품(n=20, 70%)에서 건어포 제품 (n=4, 50%) 보다 높은 비율의 불일치 비율이 관찰되었다. 원산지별 분석 결과 특정 국가와 불일치 비율과의 상관성 은 확인할 수 없었다. 이러한 연구 결과는 건포류 제품의 주기적 모니터링 수행 및 수산물의 국명 표시 선을 위한 기초자료로 쓰일 수 있을 것이다.

Si-based anodes are promising alternatives to graphite owing to their high capacities. However, their practical application is hindered by severe volume expansion during cycling. Herein, we propose employing a carbon support to address this challenge and utilize Si-based anode materials for lithium-ion batteries (LIBs). Specifically, carbon supports with various pore structures were prepared through KOH and NaOH activation of the pitch. In addition, Si was deposited into the carbon support pores via SiH4 chemical vapor deposition (CVD), and to enhance the conductivity and mechanical stability, a carbon coating was applied via CH4 CVD. The electrochemical performance of the C/Si/C composites was assessed, providing insights into their capacity retention rates, cycling stability, rate capability, and lithium-ion diffusion coefficients. Notably, the macrostructure of the carbon support differed significantly depending on the activation agent used. More importantly, the macrostructure of the carbon support significantly affected the Si deposition behavior and enhanced the stability by mitigating the volume expansion of the Si particles. This study elucidated the crucial role of the macrostructure of carbon supports in optimizing Si-based anode materials for LIBs, providing valuable guidance for the design and development of high-performance energy-storage systems.

The present study describes Philodromus rufus Walckenaer, 1826 with detailed descriptions, taxonomic photographs, distribution map, and proposition of a new synonym. Due to morphological similarity between P. pseudoexilis Paik, 1979 and P. rufus, taxonomic identity of P. pseudoexilis has been doubtful to date. A detailed bibliographic study of types of P. pseudoexilis between P. rufus and examination of specimens from the type locality of P. pseudoexilis with specimens of P. rufus collected across the country showed that P. rufus has all diagnostic characters found in types of P. pseudoexilis. Therefore, P. pseudoexilis Paik, 1979 should be regarded as a new synonym of Philodromus rufus Walckenaer, 1826.

Background: This study explores the potential of discarded male layer embryos as a sustainable and non-GMO cell source for cultivated chicken meat production. The research aims to identify efficient methods for isolating muscle progenitor cells (MPCs) with high proliferative potential by conducting transcriptome analysis on thigh muscle tissues from both male and female chick embryos. Methods: Transcriptome analysis was performed on the thigh muscle tissues of male and female chick embryos, aged 12-13 days, (n = 4 each), to investigate the gene expression profiles and identify strategies for efficiently isolating MPCs. This approach aims to pinpoint techniques that would allow for the selection of MPCs with optimal growth and proliferation capabilities. Results: Using heatmap, hierarchical clustering, and multidimensional scaling (MDS), we found no significant sex-based differences in gene expression, except for the overexpression of the female-specific gene LIPBLL. The expression of muscle stem cell factors, including PAX3, PAX7, and other myogenic regulatory genes, showed no significant variation. However, to recover MPC-rich cells isolated from male thigh muscle, we found that by the pre-plating 7 stage, myogenesis-related genes, MYHs and MUSTN1 were minimally expressed, while the cell cycle arrest gene CDKN1A sharply increased. Conclusions: Our findings suggest that simple cell isolation directly from tissue is a more scalable and efficient approach for cultivated meat production, compared to labor-intensive pre-plating methods, making it a viable solution for sustainable research and resource recycling.

This study aims to examine how the body and clothing of Jesus Christ are represented in the Russian Transfiguration of Christ icons of the 15th and 16th centuries and why it is considered to have established a distinct Russian iconography free from Byzantine influence. The study analyzes the Russian icons comparing them with their Byzantine prototypes to identify the distinctive ‘Russianness’ of the representation. The research methods comprise a qualitative analysis of the literature on Russian Orthodoxy, Russian icons, Christian theology, and Christ’s clothing and an empirical analysis of the icons. The scope of the study is limited to Russian icons from the 15th and 16th centuries and Byzantine icons from the 9th century onwards. The study found that, compared to Byzantine icons, the Russian icons exhibit a more elongated body, darker facial features, and lighter clothing. A statistical analysis using the Mann-Whitney U test further revealed that the Russian icons feature a stiffer, simpler form, more opaque material, and more defined clothing boundaries. These stylistic differences suggest that the ‘Russianness’ in the expression of Christ’s body and clothing in the Transfiguration of Christ icons derives from creativity, abstractness, and tradition. Rather than a simple recreation of the historical Christ or adherence to the Byzantine tradition, the Russian iconographic representation emphasizes Christ's transfiguration into a luminous form, as described in the Bible, accentuating his divine nature over his human aspects.