This study proposes a methodology for predicting the physical properties such as the density of polymer composites, including asphalt binders, and evaluates its feasibility by identifying the quantitative relationship between the structure and properties of individual polymers. To this end, features are constructed using molecular dynamics (MD) simulation results and descriptor calculation tools. This study investigates the changes in the calculated density depending on the characteristics of the training dataset and analyzes the feature characteristics across datasets to identify key features. In this study, 2,415 hydrocarbon and binder-derived polymer molecules were analyzed using MD simulations and 2,790 chemical descriptors generated using alvaDesc. The features were pre-processed using correlation filtering, PCA, and recursive feature elimination. The XGBoost models were trained using k-fold cross-validation and Optuna optimization. SHAP analysis was used to interpret feature contributions. The variables influencing the density prediction differed between the hydrocarbon and binder groups. However, the hydrogen atom count (H), van der Waals energy, and descriptors such as SpMAD_EA_LboR consistently had a strong impact. The trained models achieved high accuracy (R² > 0.99) across different datasets, and the SHAP results revealed that the edge adjacency, topological, and 3D geometrical descriptors were critical. In terms of predictive accuracy and interpretability, the integrated MDQSPR framework demonstrated high reliability for estimating the properties of individual binder polymers. This approach contributed to a molecular-level understanding and facilitated the development of ecofriendly and efficient modifiers for asphalt binders.
Five novel miniature bipolar radiofrequency (RF) electrode tips with distinct tip geometries (spherical, flat, square, and 45° angled) were developed to enable high-precision tissue ablation. Performance was evaluated on saline-soaked tissue, ex vivo bovine liver, and porcine muscle under consistent RF power settings. All designs produced highly localized lesions only a few millimeters across, confirming precise ablation with minimal damage to surrounding tissue. Tip geometry influenced ablation efficiency: a 45° angled tip created ~5 mm lesions at lower power (highest efficiency), whereas an ultra-fine 1.0 mm tip produced ~1 mm lesions but required higher power. These results indicate that the new bipolar RF electrodes achieve precise, localized tissue ablation with minimal surrounding tissue damage and show promise for precise lesion removal in minimally invasive surgery.
이 연구는 제2차세계대전기 체코슬로바키아망명정부와 대한민국임시 정부의 국제적 정부승인 시도 과정 및 연합국의 인식을 비교 분석한다. 베네쉬는 런던에서 서구 진영과 소련의 지원을 확보하며 군사적 입지를 강화했다. 특히 전쟁의 격화되는 동안 국제적 승인을 획득하여 성공적인 망명정부를 수립했다. 서구적 가치를 선호했던 베네쉬는 독일의 군사적 위협을 우려해 소련과 긴밀히 협력했다. 반면 임정은 체코슬로바키아의 승인 모델에 기반하여 외교적 노력을 기울였으나, 좌우 갈등과 국민 대 표성 문제로 정부승인 획득에 실패했다. 본질적으로 체코슬로바키아망명 정부는 소련의 참전으로 반독 세력이 결집하며 정부승인을 얻었지만, 임 정은 태평양전쟁 개전에도 불구하고 연합국과 소련의 정치적 이해관계로 인해 승인을 얻지 못했다. 해방 후 임정과 달리 체코슬로바키아망명정부 가 소련과 밀착한 것은 공산화로 이어지는 역설적 결과를 가져왔다.
The handwritten copy of the Ishinpō in the “Gohon - Nakarai family’s edition” in Japan contains a large number of marginal notes on phonetic notations and semantic explanations quoted from Chinese dictionaries. It is an important material for studying the overseas dissemination of Chinese characters and their usage forms in the Middle Ages. This article selects the second volume of this handwritten copy as the main research object. Combining the content of the marginal notes with the materials of character books in different dynasties, it conducts in-depth textual research and verification on difficult characters or semantic explanations such as Xin ( ), Huang (䀮), Chi (瘛), Zhi (𣛰), Liao (𢨺), Nao (臑), Luo (濼) and XieYi (解㑊) that appear in the marginal notes, and clarifies that Xin ( ) is the vulgar form of Xin (囟), Huang (䀮) is a character with the sound component replaced for Mang (盲), the original form of Chi (瘛) is Chi (𤸪), Zhi (𣛰) is a miswritten form of Zhi (榰), Liao (𢨺) should originally be Liao (窌) and should be distinguished from Liao (髎), the original form of Nao (臑) is Er (胹), and there is also a cognate character Ruan (腝), Luo (濼) is a part of XiaoLuo (消濼), this word should be the abbreviated form of XiaoYinLuo (消淫濼) and can be interpreted as meaning “to eliminate soreness and weakness”, and XieYi (解㑊) is a variant writing of XieYi (懈伿), and Yi (㑊) is a later variant of Yi (伿).
After World War II, China, Japan, and South Korea faced severe devastation, with their economies, politics, and cultures in disarray. China, after the Second Sino-Japanese War, entered into a civil war, only stabilizing with the founding of the People’s Republic of China (PRC). Japan, under U.S. occupation, struggled with the war’s lingering effects, while Korea, liberated from Japan, was divided between Soviet-controlled North and U.S.-occupied South. The Korean War (1950-1953) further complicated the situation. To rebuild, these nations adopted significant reforms, including language policy changes. Influenced by Western civilization, China, Japan, and South Korea simplified their writing systems, replacing traditional Han characters and Latinizing scripts. In China, the PRC aimed to standardize language and reduce illiteracy by simplifying Chinese characters and implementing Hanyu Pinyin. Japan, under U.S. guidance, introduced a "National Language Reform" to simplify kanji and promote phonetic scripts. In South Korea, linguistic purism emerged as part of efforts to eliminate Japanese colonial influences, emphasizing the use of Hangul and reducing reliance on hanja. This paper explores the Chinese character policies of these countries, analyzing the motivations and effects of these reforms during the post-war era.
This paper explores a convergent approach that combines advanced informatics and computational science to develop road-paving materials. It also analyzes research trends that apply artificial-intelligence technologies to propose research directions for developing new materials and optimizing them for road pavements. This paper reviews various research trends in material design and development, including studies on materials and substances, quantitative structure–activity/property relationship (QSAR/QSPR) research, molecular data, and descriptors, and their applications in the fields of biomedicine, composite materials, and road-construction materials. Data representation is crucial for applying deep learning to construction-material data. Moreover, selecting significant variables for training is important, and the importance of these variables can be evaluated using Pearson’s correlation coefficients or ensemble techniques. In selecting training data and applying appropriate prediction models, the author intends to conduct future research on property prediction and apply string-based representations and generative adversarial networks (GANs). The convergence of artificial intelligence and computational science has enabled transformative changes in the field of material development, contributing significantly to enhancing the performance of road-paving materials. The future impacts of discovering new materials and optimizing research outcomes are highly anticipated.
세계적인 환경 규제로 인해 마그네슘 합금과 같은 경량 소재에 대한 수요가 증가하고 있으며, 마그네슘 합금 소재의 다양한 산업계 적용을 위한 용접 및 접합 방식에 대한 연구도 지속적으로 수행되고 있다. 앞선 Part I 연구에서는 마그네슘 합금에 대한 파이버 레이저 Bead on Plate(BOP) 실험을 수행하여 맞대기 용접 조건의 확보를 위한 기초 연구를 수행하였으며, 본 연구에서는 Part I의 기초 BOP 실험에서 도출된 적합한 레이저 출력과 용접 속도를 바탕으로 두께 3mm의 AZ31B 마그네슘 합금에 대해 맞대기 용접을 시행하였고, 인장시험 및 경도시험을 수행한 후 기계 물성 데이터를 분석하였다. 분석 결과 레이저 출력 2.0 kW, 50 mm/s (Heat input)의 조건에서 항복강도 151.5 MPa, 인장강도 224.1 Mpa으로 우수한 인장, 항복강도를 얻을 수 있었다.
Insect cuticular extracellular matrices (ECM) including the eggshell and exoskeleton play vital roles in protecting them from natural environmental stresses. However, these chitinous ECMs must be degraded at least in part during embryonic and post-embyonic molting periods to accommodate continuous growth all the way to the adult stage. In this study we investigated the functions of groups I and II chitinases, TcCHT5 and TcCHT10, in turnover of the eggshell and cuticle in Tribolium castaneum. RNAi and TEM analyses revealed that TcCHT10 is required for digestion of chitin in the serosal cuticle for embryo hatching as well as in the old cuticle during post-embryonic molts including larval-pupal and pupal-adult metamorphosis. However, although TcCHT5 is apparently involved in these vital physiological events, TcCHT10 could substitute for TcCHT5 except during the pupal-adult molting when both enzymes are indispensable to degrade chitin in the old pupal cuticle.
The present study was carried out to investigate the concentration and species diversity of airborne fungi in thermophilic mushroom cultivation houses. Fungal concentration measurements were performed in April and May 2022 for a Pleurotus ostreatus cultivation house, in July and August 2023 for a Pleurotus sajor-caju and Agaricus blazei cultivation house, and in June, July and August 2023 for a Pleurotus pulmonarius, Pleurotus sajor-caju and Calocybe indica cultivation house. The airborne fungal concentration was 2.95 × 102 CFU/m3~105CFU/m3, above 105CFU/m3, and 1.12 × 103 CFU/m3~ 9.17 × 103 CFU/m3 in the three cultivation houses, respectively. A total of 8 genera and 22 species of airborne fungi were isolated from three mushroom cultivation houses. 5 genera and 7 species were identified from P. ostreatus cultivation house. Furthermore, 4 genera 6 species were found from A. blazei and C. indica cultivation house. In addition, 5 genera and15 species were isolated from P. pulmonarius, P. sajor-caju and C. indica cultivation house. Among the fungi isolated, the class of Eurotiomycetes was the most common. Among the 22 fungal species, Aspergillus flavus, A. ochraceus A. sydowii, A. tubingensis, A. westerdijkiae, Penicillium brevicompactum, P. citrinum, and P. steckii have been reported as harmful species to mushrooms, food, and human.