This study aimed to analyze the characteristics of the New-Chinese style appearing in Chinese fashion designer Shiatzy Chen’s collections and, accordingly, recommend various directions for the New-Chinese style design. Regarding the research method, the background and concept of Chinese style and New-Chinese style were reviewed, while relevant characteristics were derived from prior research. Concerning the data collection, 21 season collections from A/W 2014 to A/W 2024, were selected, and 26 reviews and 1,168 collection data were collated. The results are as follows: First, “multicultural convergence” emerges as design methods reflecting social changes and utilizes diverse cultural elements. In fashion design, it emerges in a harmonious combination of culture and artistic styles, expressing the integration of varied cultures —for instance, East–West cultural convergence. Second, “historical tradition” consistently expresses Shiatzy Chen’s fashion; continuously explores Chinese people’s garments and aesthetics; and integrates oriental dignity, culture, and discipline into fashion design. Third, “temporary diversity” refers to a Chinese fashion design culture that represents the seamless blending of traditional culture and modern social values— leading the new consumer market by combining new and old generations, graffiti aesthetics on modern streets, and traditional and contemporary expressions. Fourth, “positive metaphor” expresses the intrinsic mental element and emphasizes covert rather than overt beauty. These expressions metaphorically communicate ancient Chinese legends via artistic techniques, such as contemporary illustration and embroidery, thereby conveying an active mental culture.

기타 하리하란은 인도의 가장 주목받는 여성 작가 중 한 명이다. 그녀 는 자신의 상처와 굴욕의 경험을 기록하기 위해 자신만의 독특한 문체를 채택했다. 또 한 여성 문제에 대한 깊은 관심으로 잘 알려진 사회운동가이기도 하며, 1995년 인도 대법원에서 힌두 소수자 및 후견법에 이의를 제기하여 인도 현대사에 있어 주목할 만 한 판결을 이끌어냈다. 그녀는 인도 사회에서 여성들이 겪는 문제와 도전에 대해 탐구 하였다. 여성의 지위, 생활방식, 삶의 상태, 정체성, 그리고 사회적 반응에 대해 논의 하였으며, 그녀의 소설을 통해 사회의 모든 영역에서 여성 인물들을 묘사하고, 남성 중심 사회에서 여성이 어떻게 대우받고 있는지를 드러냈다. 그녀의 소설은 여성들이 엄격한 사회 체제와 공동체적 구조 속에서 어떻게 이끌리고 통제받는지를 보여주는 실제 여성들의 상황을 반영한다. 그녀의 작품들은 여러 언어로 번역되었다. 이러한 맥 락에서, 그녀의 첫 번째 소설 􋺷밤의 천 가지 얼굴􋺸은 남성 중심의 인도 사회에서 자 기 정체성을 찾기 위해 고군분투하는 여성들의 문제와 도전을 다루고 있다. 이 소설은 세 명의 서로 다른 여성의 이야기를 통해, 전통과 문화 사이에 끼어 있는 그들의 삶 의 기대와 현실을 조명한다. 각 인물은 자신만의 정체성과 자리를 찾기 위한 독특한 도전에 직면하고 있다. 시적인 문체로 구별되는 이 소설은 인도 사회 규범이라는 경로 를 따라 세 여성의 불안정한 여정을 그려내고 있다.

본 논문은 인도 영어극에서 가장 중요한 목소리 중 하나인 아시프 쿠림 보이의 선택된 희곡들에 나타난 식민주의의 주제와 재현 방식을 고찰한다. 쿠림보이의 희곡들은 식민주의의 개념과 그 다양한 양상을 드러내며, 자본주의가 독립 이후 인도 사회 전반에 미친 영향을 바탕으로 식민주의의 비인간화 행위를 지적한다. 그의 희곡들은 학문적 연구의 대상으로 다루어졌으며, 일부는 지역어로 번역되기도 하였다. 쿠 림보이의 작품은 역사와 정치 등 폭넓은 주제를 포괄하고 있으며, 인종, 계급, 젠더와 같은 문제들이 많은 작품에서 부각되지만 이에 대한 심층적인 논의는 아직 부족하다. 그는 시대의 중대한 문제들에 대한 지속적인 관심을 통해 삶에 대한 독자적인 시각을 형성하며, 동시대적 주제에 대한 뚜렷한 입장을 가진 독특한 극작가로 평가된다. 또한 그는 현대 사회의 비참한 현실을 가감 없이 드러내는 데 주력한다.

Sodium sulfate, as a commonly used early strengthening agent, has been widely used in different areas. Because of its sulfonic acid group, sodium sulfate is also used as a cement capillary crystal waterproof material. However, temperature has a significant effect on concrete mixed with sodium sulfate. The effect of sodium sulfate on the early hydration rate at different temperatures was studied by conducting a time and hydration thermal analysis. The effects of sodium sulfate on the mechanical properties of concrete at different temperatures were studied through compressive strength experiments. Impermeability at different temperatures was studied by testing resistance to chloride ion penetration and resistance to water penetration. The effect of resistance to sulfate attack was also experimentally. The hydration products were analyzed by electron microscopy (SEM) and energy dispersive spectroscopy (EDS). The experimental results showed that at low temperature, sodium sulfate can accelerate the early hydration reaction rate, and the effect becomes weaker with increasing temperature. At low temperature, the addition of sodium sulfate can effectively improve the degree of hydration, and enhance the permeability resistance and ion erosion resistance of the matrix.

한국산 복숭아거위벌레속(딱정벌레목: 바구미상과: 주둥이거위벌레과)의 분류학적 재검토를수행한 결과 애복숭아거위벌레(Rhynchites (Rhynchites) fulgidus Faldermann, 1835)를 국내 처음으로 확인하였다. 본 연구에서는 한국산 복숭아거위벌레속 2종(애복숭아거위벌레, 복숭아 거위벌레)의 형태학적 재기재를 제공한다. 또한, 한국산 복숭아거위벌레속 종들의 분류학사에 대한 고찰과 2종에 대한 분류 검색표를 제시한다.

This experiment was carried out to study the effect of elapsed time after air flow cutoff on the germination rate of Italian ryegrass seed with different moisture contents during natural drying on reclaimed land, Jangheung and Kimje of Korea from 2023 to 2024, respectively. Seeds with moisture contents of 15.3, 22.3 and 28.0% were placed in vinyl bag (30 × 40 cm) at storage thicknesses of 10, 15, and 20 cm, and air flow was cutoff for 48 h. Seed moisture content, seed temperature (℃) and germination rate were investigated at 12-h intervals. After 48 h of airflow cutoff during natural drying, seed moisture content did not significantly differ among storage thickness treatment (p>0.05). When Italian ryegrass seeds with moisture contents of 27~28% were stored under conditions with air flow cutoff at 15~20cm thickness for 48 h, the seed temperature reached up to 30℃ and the germination rate was excellent at around 70~80%.

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.

Lumpy Skin Disease (LSD) and Foot-and-Mouth Disease (FMD) cause substantial economic losses on the livestock industry. Therefore, vaccinations have been implemented as the control strategy in endemic countries. However, the potential adverse effects of administering vaccines for both diseases simultaneously have not been thoroughly evaluated. The aim of this study was to assess the impact of vaccinating dairy cows with either or both LSD and FMD vaccines on milk production and physiological parameters such as milk temperature, rumination time and body weight. The experimental groups were divided into four according to the injection materials: 1) saline, 2) LSD vaccine, 3) FMD vaccine, and 4) both vaccines. The impact of vaccination on milk yield and physiological parameters was evaluated daily until 12 days post-vaccination, and milk components were analyzed twice, once per week. Among the experimental groups as well as each vaccine group, no statistically significant differences (p < 0.05) were observed at milk yield, milk components, or milk temperature. This suggests that simultaneous vaccination of LSD and FMD can be administered without adverse effects.

This experiment was carried out to evaluate the effect of natural drying methods on the moisture content and germination of Italian ryegrass seed in Jicheon reclaimed land, Jangheung, Korea, from 2023 to 2024. The natural drying methods tested included seed spread thicknesses of 2.5, 5.0 and 7.5 cm; seed reversal frequencies of 1, 2 and 3 times per day; and two reversal methods: seed-only reversal and complete mixing of seed with a dry mat. The thinner seed spread thickness significantly accelerated moisture content reduction(p<0.001). However, the reduction in moisture contents due to the number and method of seed reversal was minimal, approximately 1%. Seeds initially having around 48.9% moisture content required 2, 4 and 5 days to reach a moisture content of 14% when dried at spread thickness of 2.5, 5.0 and 7.5 cm, respectively. Seeds with an initial moisture content of 23-26% required 1 to 2 days to reach 14% moisture content while maintaining approximately 80% germination rate under the tested natural drying methods. When seeds with an initial moisture content of 48.9% were dried at a spread thickness of 2.5 cm, the germination rate was 74.6%, which was significantly lower than the 83.8 and 81.6% germination rates observed for seeds dried at 5.0 and 7.5 cm thickness, respectively(p<0.002). These results suggest that for faster drying and higher-quality Italian ryegrass seed, harvesting at 30% seed moisture content, utilizing the cultivation field as a seed drying place, and applying a seed spread thickness of 2.5 to 5.0 cm are optimal practices.

이 연구는 다목적 선박(MPV)의 공기역학적 구조물 설계, 분석 및 향상을 통해 그린 워터 압력에 의한 구조적 안전을 보장하고, 탈탄소화 및 에너지 효율성에 이바지하는 방법을 기술하였다. 유한 요소 분석(FEA)을 통한 초기 평가에서 좌굴 발생에 대한 잠재적인 취약점 이 있음을 확인하였다. 이러한 문제를 해결하기 위해 보강재(Carling stiffener)와 두께 증가를 통하여 응력을 재분배하고 국부적인 좌굴 발생의 위험을 최소화하였다. 보강 후 분석 결과, 한국선급(KR)의 안전 기준인 항복 강도, 미국 선급(ABS) 좌굴 강도 및 노르웨이 표준(NORSOK) 변 위 기준을 모두 충족하는 것이 확인되었다. 결과적으로 고유치 좌굴 해석 결과가 안전 기준을 초과하고 최대 변위가 허용 한계 내에 있는 등 중요한 개선이 이루어졌다. 이러한 개선은 극한의 해양 조건에서 운영 신뢰성을 보장할 수 있다. 이 연구는 공기역학적 항력 감소와 구조적 안전성의 이중적인 이점을 강조하며, 국제 해사 기구(IMO)의 2050 탈탄소화 목표에 부합하는 연료 효율성 및 온실가스 배출 감소에 이바지할 수 있다. 연구 결과는 다양한 선박 유형에 걸쳐 항력 감소 기술을 확장하기 위한 기초 자료를 제공하며, 지속 가능하고 탄력적인 해양 운영을 위한 대안을 제시하였다. 향후 연구는 구조적 안전 평가를 가속할 수 있는 단순화된 모델링 기술 개발에 집중할 것이다.

X-ray diffraction is widely used as a non-destructive method for measuring residual stress in crystalline materials, and is particularly useful as a technique for controlling residual stress that has been introduced during the heat treatment or surface treatment of metallic materials. Neutron stress measurement is gaining attention as an internal material measurement method. It complements the demerits of the X-ray method in that it measures stress in a very thin surface layer. The neutron stress measurement method, like the X-ray method, is based on the principle of crystal diffraction, and its penetration depth is about 1,000 times greater than that of the X-ray method and is suitable for measuring the inside of a material. This study investigated the residual stress measurement method using the sin2ψ method using shot-peened mechanical structural carbon steel. The non-destructive measurement using high-energy X-rays was compared with the residual stress measured using conventional laboratory X-rays, and the following results were obtained. The high intensity diffraction angles using highenergy X-rays are low, but can be measured with sufficient precision. Interpreting the three diffractions 633, 552, and 721 as a single diffraction profile allowed stress measurements to be made, and the calculated value was close to the weighted average of the intensity ratios. The results of the high-energy X-ray residual stress measurements were in good agreement with the results from laboratory X-rays, confirming the usefulness of this method as a non-destructive method of assessing stress deep inside materials.

Scaling relations are fundamental tools for exploring the morphological properties of galaxies and understanding their formation and evolution. Typically, galaxies follow a scaling relation between mass and size, measured by effective radius. However, a compact class of galaxies exists as outliers from this relation, and the origin of these compact galaxies in the local universe remains unclear. In this study, we investigate the compact dwarf galaxy SDSS J134313.15+364457.5 (J1343+3644), which is the result of a merger. Our analysis reveals that J1343+3644 has a half-light radius of 482 pc, significantly smaller than typical galaxies with the same brightness (Mr = −19.17 mag). With a high star-formation rate (SFR) of 0.87 M⊙ year−1, J1343+3644 is expected to evolve into a compact elliptical galaxy in a few million years. J1343+3644 could, therefore, be a progenitor of a compact elliptical galaxy. The phenomenon happened in early universe, where compact galaxies were common.

Galaxy evolution studies require the measurement of the physical properties of galaxies at different redshifts. In this work, we build supervised machine learning models to predict the redshift and physical properties (gas-phase metallicity, stellar mass, and star formation rate) of star-forming galaxies from the broad-band and medium-band photometry covering optical to near-infrared wavelengths, and present an evaluation of the model performance. Using 55 magnitudes and colors as input features, the optimized model can predict the galaxy redshift with an accuracy of σ(Δz/1+z) = 0.008 for a redshift range of z < 0.4. The gas-phase metallicity [12 + log(O/H)], stellar mass [log(Mstar)], and star formation rate [log(SFR)] can be predicted with the accuracies of σNMAD = 0.081, 0.068, and 0.19 dex, respectively. When magnitude errors are included, the scatter in the predicted values increases, and the range of predicted values decreases, leading to biased predictions. Near-infrared magnitudes and colors (H, K, and H −K), along with optical colors in the blue wavelengths (m425–m450), are found to play important roles in the parameter prediction. Additionally, the number of input features is critical for ensuring good performance of the machine learning model. These results align with the underlying scaling relations between physical parameters for star-forming galaxies, demonstrating the potential of using medium-band surveys to study galaxy scaling relations with large sample of galaxies.

본 연구는 지난 10여년간 고려대학교 및 한국과학기술연구원(KIST)에서 AMS를 이용하여 측정된 우주선유발 동위원소 10 Be의 준비 및 측정 과정을 다룬 보고서이다. 총 2 4세트의 표준물질과 107개의 Blank시료가 분석되었으며, 2017년 이후 표준물질의 측정 재현성이 크게 향상되어 국제적인 주요 실험실의 결과와 비교할 만한 수준의 성과를 보였다. 그러나 Blank 값은 사용된 9 Be 캐리어의 종류 및 석영 추출 과정과 AMS 측정 세팅 등 실험 조건에 따라 영향 을 받는 것으로 나타났으며, 이는 잠재적인 오염원을 체계적으로 추적하고 관리할 필요성을 시사한다. 본 연구는 10 Be Background 값을 줄이는 것이 우주선유발 동위원소 연구의 범위를 넓히는 데 중요한 역할을 함을 강조한다. 낮은 Background 값은 상대적으로 최근에 형성된 지형이나 오랜 시간 매몰되어 방사성 핵종이 상당량 감소한, 저준위 10 Be 지형의 연대측정을 가능하게 한다. 향후 연구에서는 실험 과정을 개선하고 가중평균 계산법 등의 새로운 통계적 방법을 도입하여 측정 오차를 최소화하는 데 중점을 둘 예정이다. 본 연구는 다양한 시간적 및 공간적 규모에서 지구표면과학 연구를 발전시키기 위한 우주선유발 동위원소 분석의 기반을 제공한다.

Background: The increasing demand for real-time professional fitness coaching has led to a need for accurate exercise posture recognition using artificial intelligence. Objectives: To compare the performance of Feedforward Neural Network (FNN) and Stacked Long Short-Term Memory (LSTM) models in classifying fitness posture images using detailed joint coordinate labeling. Design: Comparative analysis of machine learning models using a labeled dataset of fitness posture images. Methods: A dataset from AI-hub containing images and data of 41 exercises was used. Five exercises were selected and processed using a custom program. Data was converted from JSON to CSV format, augmented with joint condition information, and analyzed using Google Colab. Results: The best FNN model achieved a training error of 1.21% and test error of 9.08%. The Stacked LSTM model demonstrated superior performance with a training error of 1.05% and test error of 6.09%. Conclusion: Both FNN and Stacked LSTM models effectively classified sequential fitness images, with Stacked LSTM showing superior performance. This indicates the potential of Stacked LSTM models for accurate fitness posture classification in real-time coaching scenarios.

Background: Artificial intelligence (AI) research on physical fitness posture estimation has been limited by a lack of comprehensive datasets and guidelines. This study analyzes the fitness image dataset provided by Korea's AIHub platform to advance posture estimation algorithms from exercise prescription and behavioral analysis perspectives. Objectives: To analyze fitness movements and guide correct exercise posture using AI-based visual and auditory feedback. Design: Descriptive analysis of a large-scale dataset. Methods: The study examined image and JSON labeling files from AI-Hub, analyzing 6.39 million fitness images across 41 exercise types. Data structure, exercise states, and annotation characteristics were analyzed in detail. Results: The dataset encompasses 816 distinct exercise states, captured from five camera angles with 24 key body points labeled per posture. Exercises were categorized into full-body workouts (17), barbell/dumbbell exercises (16), and furniture exercises (8). Gender distribution was 76% male and 24% female, with 41% in the 27-29 age group. The dataset allows for detailed analysis of correct and incorrect postures. Conclusion: This comprehensive analysis of the AI-Hub fitness dataset provides a robust foundation for developing AI models for fitness posture evaluation and feedback, benefiting exercise coach web/app service developers.

We previously reported that pyridoxine and its derivatives exert antidiabetic effects by alleviating postprandial hyperglycemia via inhibition of carbohydrate-hydrolyzing enzymes in normal sprague–dawley (SD) rats. In this study, we aimed to further evaluate whether long-term pyridoxal supplementation decreases the blood glucose levels using SD rats. SD rats were randomly assigned to groups fed a high-carbohydrate diet (66.1% cornstarch) with or without pyridoxal (4%) for 36 days. Changes in body weight, blood glucose levels, and food intake were measured daily for 36 days. Dietary supplementation with pyridoxal significantly decreased the blood glucose levels (P<0.001) and body weight (P<0.001) in mice. Glycated hemoglobin (HbA1c) levels, which are good indicators of plasma glucose concentrations over prolonged periods, were also significantly decreased over five weeks (P<0.001). Similarly, dietary treatment with Acarbose ® (0.04%), a positive control, also significantly decreased the blood glucose and HbA1c levels and body weight. Overall, our findings suggest that pyridoxal inhibits weight gain and alleviates postprandial hyperglycemia by decreasing glucose absorption and HbA1c levels.

진저 비어는 생강과 설탕을 이용한 발효 음료로, 가볍 게 탄산화된 특유의 매운맛이 특징이며, 주로 가정에서 직 접 만들어진다. Ginger bug라는 스타터 컬처를 사용한 자 연적 발효 과정을 통해 만들어지며, 이는 상업용 음료와 달리 발효된 상태의 살아있는 미생물을 포함한다. 이 연 구는 두 가지 다른 방법으로 가정용 진저 비어를 직접 제 조하여 진저 비어의 미생물 군집의 변화를 분석하고자 하 였다. 레시피 1과 2의 발효 결과, 총 균수(aerobic plate count, APC)는 최대 6 log CFU/mL에 도달했고, 효모와 곰팡이 수(yeast and mold, YM)는 6.5 log CFU/mL로 가 장 높았다. 레시피 2에서는 진저 비어를 만들기 전에 ginger bug를 발효하였으므로 알코올 함량이 0.655%까지 증가한 반면, 레시피 1에서는 0.15% 미만이었다. 다양성 분석 결 과, ginger bug에서 높은 수준의 Enterobacteriaceae가 발견 되어 발효 과정과 재료 취급이 미생물 군집 변화에 영향 을 미쳤음을 시사했다. 생강과 진저 비어 전반에서 Lactococcus가 낮은 수준으로 검출되었고, 진저 비어에서 는 셀룰로오스를 분해하는 Trabulsiella 균주가 발견되어 프로바이오틱스 가능성을 시사하였다. 본 연구는 진저 비 어의 미생물 군집에 대한 최초의 연구로, 진저 비어 제조 시 재료로부터 기원한 미생물이 어떻게 변화하는지에 대 한 통찰을 제공한다. 또한, 다양한 환경에서의 발효 조건 이 미생물 군집과 제품의 품질에 미치는 영향을 탐구하는 데 기여할 것이다. 연구 결과는 진저 비어의 품질 향상에 대한 향후 연구에 중요한 자료를 제공할 것이다.

Refractory materials, such as molybdenum and niobium, are potential candidates for cladding material due to their high melting temperatures and desirable mechanical properties at higher temperatures than those of zirconium alloys. However, refractory materials have low resistance to oxidation at elevated temperatures. Therefore, this study examined silicide or aluminide surface coatings as protection against rapid oxidation of refractory materials at elevated temperatures for a potential accident-tolerant fuel cladding. Silicide or aluminide layers were formed on refractory metal substrates by using the pack cementation method. The steam oxidation behavior of both coated and uncoated samples was compared by thermogravimetric analysis at 1200°C. The weight changes of the coated samples were greatly reduced than those of uncoated samples. Microstructural analyses demonstrated that the silicide and aluminide layers were oxidized to form a protective surface oxide that prevented rapid oxidation of the refractory substrate at elevated temperatures.

High-entropy alloys (HEAs) represent a revolutionary class of materials characterized by their multi-principal element compositions and exceptional mechanical properties. Powder metallurgy, a versatile and cost-effective manufacturing process, offers significant advantages for the development of HEAs, including precise control over their composition, microstructure, and mechanical properties. This review explores innovative approaches integrating powder metallurgy techniques in the synthesis and optimization of HEAs. Key advances in powder production, sintering methods, and additive manufacturing are examined, highlighting their roles in improving the performance, advancement, and applicability of HEAs. The review also discusses the mechanical properties, potential industrial applications, and future trends in the field, providing a comprehensive overview of the current state and future prospects of HEA development using powder metallurgy.