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

“…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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Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm by Ping-Feng Xu, Shanyi Lin, Qian-Zhen Zheng, Man-Lai Tang

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Incidence and structure of sudden cardiac death among working population of the Bryansk region. GERMINA register data by R. M. Linchak, A. M. Nedbaykin, E. V. Sementsova, I. A. Yusova, V. V. Strukova

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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

“…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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Data-driven structural damage monitoring and assessment based on unmanned aerial vehicle images: a survey by Zhuoyue Yang, Yuxin Xu, Hao Song, Kang Yu

“…This study provides a systematic review of UAV-based structural monitoring and assessment methodologies, categorizing existing techniques based on their data type and applications. …”
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Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

“…Manual geometric modeling of timber structures is time-intensive and error-prone, impeding efficient structural analysis. …”
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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

“…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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Examining the role of urban form In shaping people's accessibility to opportunities: An exploratory spatial data analysis by Darren Scott, Mark Horner

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

“… 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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The relationship between goodwill and capital structure and the moderating effect of financial market development by Oli Ahad Thakur, Matemilola Bolaji Tunde, Bany-Ariffin Amin Noordin, Md. Kausar Alam, Muhammad Agung Prabowo

Subjects: “…Capital structure…”
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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

“…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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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

“…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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Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation by Yuxiang Liao, Haishan Xiang, Hantao Liu, Irena Spasic

“…We developed a joint entity and relation model and proposed a novel auxiliary component to enhance the model performance by interpreting token-level information. Using the annotated data, we trained the model for automatically converting information from a narrative radiology report into the structured representation, which achieved a micro-F1 of 96.6% and 96.1% on named entity recognition, 94.0% and 89.8% on entity attribute recognition, and 89.5% and 86.6% on relation extraction, on the MIMIC-CXR and CheXpert test sets, respectively. …”
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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

“…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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Recent advances in structural health diagnosis: a machine learning perspective by Yuequan Bao, Huabin Sun, Yang Xu, Xiaoshu Guan, Qiuyue Pan, Dawei Liu

Subjects: “…Structural health diagnosis…”
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Unveiling intra-urban complexity and identifying urban cores through the lens of living structure using point-of-interest data by Zheng Ren, Ding Ma, Bin Jiang, Stefan Seipel

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The Relationship between Urban Functional Structure and Insomnia: An Exploratory Analysis in Beijing, China by Sirui Chen, Lijun Xing, Yu Liu, Jiwei Xu

“…There is growing evidence that environmental factors may be associated with sleep disorders, but few studies have explored the relationship between insomnia and urban functional structure from a spatial perspective. This study collected multi-source big data (e.g., insomnia posts on Weibo, locations of urban facilities on Baidu) and explored the effects of different urban spatial element configurations on residents’ insomnia. …”
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Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

“…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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The influence of urban and agricultural landscape contexts on forest diversity and structure across ecoregions by John Paul Schmit, Lea R. Johnson, Matthew Baker, Lindsay Darling, Robert Fahey, Dexter H. Locke, Anita T. Morzillo, Nancy F. Sonti, Tara L. E. Trammell, Myla F. J. Aronson, Michelle L. Johnson

“…In contrast, there was little difference in structure and diversity between forests in highly agricultural and impervious settings. …”
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Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling by Ionut Nica, Simona-Vasilica Oprea, Adela Bara

“…Furthermore, the Structural Equation Model (SEM) is created to examine relationships between latent and observed variables, using maximum likelihood estimation. …”
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