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  1. 381
  2. 382

    Fractal Characteristics of the Auroral Oval Structure According to the All-Sky Camera Data in Apatity for 2013–2020 by Kozelov Boris

    Published 2025-04-01
    “…The spatial structure of polar auroras is described by the fractal dimension of glow fluctuations and its anisotropy from direction. …”
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    Article
  3. 383

    Efficient Probabilistic Modelling of Corrosion Initiation in RC Structures Considering Non-Diffusive Barriers and Censored Data by Guilherme Henrique Rossi Vieira, Ritermayer Monteiro Teixeira, Leila Cristina Meneghetti, Sandoval José Rodrigues Júnior

    Published 2025-07-01
    “…This article presents a probabilistic methodology for assessing corrosion initiation in reinforced concrete structures exposed to chloride ingress. The approach addresses key limitations of conventional analytical models by accounting for non-diffusive barriers and incorporating a rigorous statistical treatment of censored data to mitigate biases introduced by limited simulation durations. …”
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    Article
  4. 384

    Study of the structure and development of oil deposits in carbonate reservoirs using field data and X-ray microtomography by D. A. Martyushev, I. N. Ponomareva, B. M. Osovetsky, K. P. Kazymov, E. M. Tomilina, A. S. Lebedeva, A. S. Chukhlov

    Published 2024-04-01
    “…At present, a large number of scientific works devoted to the study of the features of the geological structure and the development of oil deposits in complex carbonate reservoirs are based on the use of any one research method. …”
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    Article
  5. 385

    UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

    Published 2025-01-01
    “…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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    Article
  6. 386
  7. 387

    A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

    Published 2025-07-01
    “…Clouds are important for Earth’s energy budget and water cycles, and precisely characterizing their vertical structure is essential for understanding their impact. …”
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    Article
  8. 388

    Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

    Published 2025-06-01
    “…Manual geometric modeling of timber structures is time-intensive and error-prone, impeding efficient structural analysis. …”
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    Article
  9. 389

    Conserved genome structure and phylogenetic insights for the heterogeneous subfamily of Convallarioideae (Asparagaceae) revealed from plastome data by Shao-De Wu, Ran Meng, Ze-Long Nie, Ming-Yang Song, Xing-Ru Chen, Jun Wen, Ying Meng

    Published 2025-05-01
    “…Despite its importance, chloroplast genome data for Convallarioideae remain limited, hindering a comprehensive understanding of their genome structural evolution and phylogenetic relationships. …”
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    Article
  10. 390
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  12. 392

    Virtual Reconstruction of no longer Existing Archaeological Structures in Highly Urbanized Areas by Laura Loredana Micoli, Umair Shafqat Malik, Gabriele Guidi

    Published 2024-09-01
    “… This paper presents a methodology for the virtual reconstruction of no longer existing archaeological structures, focusing on cases where the remains are concealed within contemporary urban environments. …”
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    Article
  13. 393

    Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

    Published 2025-06-01
    “…Recent advances in sensor technology, data acquisition, and signal processing have enabled the development of data-driven structural health monitoring (SHM) strategies, offering a powerful alternative or complement to traditional model-based approaches. …”
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  14. 394
  15. 395

    Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning by Shuyan Zhang, Jingtan Li, Lin Shen, Zhonghao Zhao, Minjun Lee, Kun Qian, Naidi Sun, Bin Hu

    Published 2025-04-01
    “…In this study, we propose Mask-enhanced U-net (MeU-net) for recovering sparsely sampled PAM structural and functional images. The model utilizes dual-channel input, processing photoacoustic data from 532 nm and 558 nm wavelengths. …”
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  16. 396

    Structure of the Primorye Current (Japan Sea) on satellite ima- ges and standard sections by A. A. Nikitin, I. L. Tsypysheva, Yu. I. Zuenko, Yu. I. Zuenko

    Published 2024-12-01
    “…Based on satellite images and standard sections obtained in 2000–2024, spatial structure of the Primorye Current as a band of cold waters along the coast of Primorye is considered. …”
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    Article
  17. 397

    Analysis of dairy farm assets in the Visegrad Group based on the Farm Accountancy Data Network 2015-2022 data by Ildikó VAJDÁNÉ SZABÓ, Nóra HEGEDŰSNÉ BARANYAI, Judit Poór

    Published 2025-03-01
    “…This study aims to investigate the milk production of the Visegrad countries (V4), to answer the question, of what differences and similarities characterize the asset structure of the dairy farms of these countries. Based on the Farm Accountancy Data Network (FADN), the size and the structure of the fixed assets, as well as the use of subsidies for investments is analyzed. …”
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    Article
  18. 398

    A unified framework for post-disaster hazard and structural assessment data collection across hazards and infrastructure typologies by Mohammad S. Alam, Tracy Kijewski-Correa, David B. Roueche, Khalid M. Mosalam, David O. Prevatt, Ian Robertson

    Published 2025-07-01
    “…Post-disaster field observations of the built environment are critical for advancing fundamental research that links hazard data to structural performance, cascading community impacts, and the development of effective mitigation strategies. …”
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  19. 399
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    Semantic web ontology for structured knowledge representation and clinical decision support in eye diseases by Fatima Anjum, Fahad Maqbool, Muhammad Saad Razzaq, Hafiz Muhammad Faisal Shehzad, Shujaat Ali, Dilawar Shah, Muhammad Tahir, Muhammad Ilyas

    Published 2025-08-01
    “…Ontologies are used as excellent tools for organizing and managing complicated information due to their structured representations of domain knowledge and to make data more findable, accessible, interoperable, and reusable. …”
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    Article