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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Re-evaluation of the stratigraphy, structural, and depositional environment of Kolmani field, Gongola sub-basin, northeast Nigeria using outcrop data, ditch cutting data, and well log data for enhanced hydrocarbon exploration by Chekwube Nnamdi Didi, Olawale Olakunle Osinowo, Okey Eliseus Akpunonu, Musa Bappah Usman

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Damage Indicators for Structural Monitoring of Fiber-Reinforced Polymer-Strengthened Concrete Structures Based on Manifold Invariance Defined on Latent Space of Deep Autoencoders by Javier Montes, Juan Pérez, Ricardo Perera

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Scanning the Universe for Large-Scale Structures Using Gamma-Ray Bursts by Istvan Horvath, Zsolt Bagoly, Lajos G. Balazs, Jon Hakkila, Bendeguz Koncz, Istvan I. Racz, Peter Veres, Sandor Pinter

Subjects: “…cosmology: large-scale structure of the universe…”
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Biodiversity Information of benthic Species at ARtificial structures – BISAR by Jennifer Dannheim, Paul Kloss, Jan Vanaverbeke, Ninon Mavraki, Mirta Zupan, Vanessa Spielmann, Steven Degraer, Silvana N. R. Birchenough, Urszula Janas, Emma Sheehan, Katharina Teschke, Andrew B. Gill, Zoe Hutchison, Drew A. Carey, Michael Rasser, Jolien Buyse, Babeth van der Weide, Oliver Bittner, Paul Causon, Roland Krone, Marco Faasse, Alexa Wrede, Joop W. P. Coolen

“…BISAR is the first data product containing harmonised and quality-checked international data on benthos from artificial structures in the North Sea. …”
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A structured approach to developing an introductory statistics course for graduate students: Using data to teach about data by Lisa Eunyoung Lee, Sobiga Vyravanathan, Tony Panzarella, Caitlin Gillan, Nicole Harnett

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Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach by Asim Abbas, Steve Fonin Mbouadeu, Fazel Keshtkar, Joan DeBello, Syed Ahmad Chan Bukhari

Subjects: “…structured data…”
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Enhancing Anomaly Detection in Structured Data Using Siamese Neural Networks as a Feature Extractor by Elizabeth P. Chou, Bo-Cheng Hsieh

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GEODYNAMIC ACTIVITY OF MODERN STRUCTURES AND TECTONIC STRESS FIELDS IN NORTHEAST ASIA by L. P. Imaeva, G. S. Gusev, V. S. Imaev, S. V. Ashurkov, V. I. Melnikova, A. I. Seredkina

Subjects: “…parageneses of active structures…”
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Structural insights into DNA repair by RNase T--an exonuclease processing 3' end of structured DNA in repair pathways. by Yu-Yuan Hsiao, Woei-Horng Fang, Chia-Chia Lee, Yi-Ping Chen, Hanna S Yuan

“…Our data suggest that RNase T likely processes bulge and bubble DNA in the Endonuclease V-dependent DNA repair, whereas it processes Y-structured DNA in UV-induced and various other DNA repair pathways. …”
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Beyond contrastive learning: adaptive graph representations with mutual information maximization for blockchain and structured data by Yifeng Zhang, Qianqian Ren, Yourong Chen, Meng Han

“…Abstract Graph representation learning has emerged as a powerful approach for modeling structured data across diverse domains, including social networks, biochemical interactions, and financial transaction systems. …”
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Identifying the diagnostic gap of tardive dyskinesia: an analysis of semi-structured electronic health record data by Kira Griffiths, Yida Won, Zachery Lee, Lu Wang, Christoph U. Correll, Rashmi Patel

“…Results Altogether, 1,301 (4.0%) patients had either description of abnormal movements associated with TD (n=691) or documented TD (n=610) within semi-structured EHR data. Of those patients, only 64 (4.9%) had an ICD-TD diagnosis in structured EHR data. …”
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Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis by Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D’Agostino, Xin Li, Yilin Ning, Yuqing Shang, Ziwen Wang, Molei Liu, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu

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Semi-automatic staging area for high-quality structured data extraction from scientific literature by Luca Foppiano, Tomoya Mato, Kensei Terashima, Pedro Ortiz Suarez, Taku Tou, Chikako Sakai, Wei-Sheng Wang, Toshiyuki Amagasa, Yoshihiko Takano, Masashi Ishii

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A Structured Data Model for Asset Health Index Integration in Digital Twins of Energy Converters by Juan F. Gómez Fernández, Eduardo Candón Fernández, Adolfo Crespo Márquez

“…First, the proposed AHI methodology is introduced, and after a structured data model specifically designed, orientated to a basic and economic cloud implementation architecture. …”
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The multidiverse graphene oxide: How the fine structure affects structural analysis and performance in reverse osmosis membranes by Christian E. Halbig, Rahul Zambare, Bristy Mukherjee, Slaven Garaj

“…This suggests that the fine structure and stereochemistry of individual GO samples, together with other macroscopic material parameters, are mainly responsible for the lack of comparability of the data obtained. …”
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Modal Parameters Estimation of Building Structures from Vibration Test Data Using Observability Measurement by Jae-Seung Hwang, Hongjin Kim, Bong-Ho Cho

“…The numerical simulation is performed to evaluate the proposed procedure, and the results show that the modal participation factor and mode shapes are estimated from the structural responses accurately. The procedure is also applied to the experimental data obtained from the shaking table test of a three-story shear building model.…”
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The Data-Driven Performance Prediction of Lattice Structures: The State-of-the-Art in Properties, Future Trends, and Challenges by Siyuan Yang, Ning Dai, Qianfeng Cao

Subjects: “…lattice structure…”
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Delineation of mineralization-related geologic structures and lithological units using airborne magnetic and radiometric data by Christian Ordóñez, Stephen Eguba Ekwok, Ahmad Alkhayaat, Pardeep Singh Bains, Rohit Sharma, Raman Kumar, Ankur Kulshreshta, Vikasdeep Singh Mann, Yasser Elmasry

Subjects: “…Geologic structures…”
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Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network by Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu

“…In this study, we introduce a multiple‐condition fusion network (MCF‐Net) to characterize subsurface structures based on both hard and soft data. To harness the full potential of multiple‐source subsurface observations, two distinct neural networks extract implicit features from hard and soft data. …”
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