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

“…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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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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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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A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen by Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

“…Structural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. …”
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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

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STRUCTURAL-TECTONIC MODEL OF THE BASEMENT AND SEDIMENTARY COVER OF EAST ARCTIC WATER AREAS by V. Yu. Kerimov, E. A. Lavrenova, Yu. V. Shcherbina, R. A. Mamedov

“…To discuss the question of the geological and tectonic structure of Mesozoic-Cenozoic East Arctic water areas by analysing the existing geological and geophysical data on the Arctic shelf. …”
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Numerical Simulation of Earthquake Impacts on Marine Structures: A Comprehensive Review by Adel Kabi, Jersson X. Leon-Medina, Francesc Pozo

“…This review examines advanced numerical modeling approaches, including CFD, FEM, DEM, FVM, and BEM, to assess the impacts of earthquakes on these structures. These methods provide cost-effective and reliable simulations, demonstrating strong alignment with experimental and theoretical data. …”
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Macromolecular crystallography from an industrial perspective – the impact of synchrotron radiation on structure-based drug discovery by H. Käck, T. Sjögren

Subjects: “…structure-based drug design…”
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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

“…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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Seismic comprehensive characterization technology for internal structures of deep single channels with few wells by WANG Jianwei, LEI Lei, SUN Li, LIU Mengying, WU Wenwen, LIU Shu

“…The target layer has a large burial depth， few drilled wells， and poor-quality seismic data. It is difficult to identify the channel sand bodies based on seismic data， and the development accuracy requirements are not supported. …”
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Analysis of 19-inch and metric mechanical structures for electronic equipment by A. A. Yefimenko, A. P. Karlangach

“…To compare these two systems, we have selected parameters which make it possible to make a quantitative assessment and can be calculated on the basis of the data from standards for such mechanical structures. …”
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Reconfigurable Silicon Photonic Processor Based on SCOW Resonant Structures by Liangjun Lu, Lin Shen, Wei Gao, Linjie Zhou, Jianping Chen

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Non-parametric correlation structures and their respective embeddings in predictive analysis by Adam Dudáš

“…These models are implemented in Python language to ensure broad accessibility and integration into existing data analysis pipelines. Once implemented, the concept of embedding non-parametric correlation chains within non-parametric correlation graphs is explored to enhance the interpretability of correlation structures of a dataset. …”
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Analysis of the current state of unstable geomorphological structures with modern methods by Vyacheslav V. Dolotov, Yuri N. Goryachkin, Andrey V. Dolotov

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Variable Selection for Additive Quantile Regression with Nonlinear Interaction Structures by Yongxin Bai, Jiancheng Jiang, Maozai Tian

“…In this paper, we introduce a nonlinear interaction structure into the additive quantile regression model and propose an innovative penalization method. …”
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GWAS Procedures for Gene Mapping in Diverse Populations With Complex Structures by Zhen Zuo, Mingliang Li, Defu Liu, Qi Li, Bin Huang, Guanshi Ye, Jiabo Wang, You Tang, Zhiwu Zhang

“…With reduced genotyping costs, genome-wide association studies (GWAS) face more challenges in diverse populations with complex structures to map genes of interest. The complex structure demands sophisticated statistical models, and increased marker density and population size require efficient computing tools. …”
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The use of digital technologies in assessing the technical condition of historic structures by Bartosz Szostak, Michał Wac

“… This article explores the use of modern digital technologies, such as 3D scanning and photogrammetry, in assessing the technical condition of historic structures. It compares traditional and digital inventory methods, emphasising the advantages of the latter in the precise and rapid acquisition of spatial data. …”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…Special attention is paid to data processing in complex network structures using the Python language and its various available libraries.Results. …”
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