Investigation on Structural Performance of Integral Steel Wall Plate Structure in Cable–Pylon Anchorage Zone by Chen Liang, Yuqing Liu, Yimin Liu, Chi Lu

“…The results were compared with experimental data of a conventional type of anchorage zone. Then, finite element models of anchorages with steel anchor boxes were established based on the geometries of an as-built bridge, and the performance of the IWP structure was compared with conventional details. …”
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Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules by N. A. Shulaeva, M. I. Skvortsova, N. A. Mikhailova

“…Owing to its high efficiency, the structure–property models obtained by this approach can be employed to calculate the properties of chemical compounds for which experimental data are unavailable.…”
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Coal structure identification method based on three-terminal tuple chart in complex structure area by Jianghai ZOU, Gang XIANG, Yinlan FU, Yongyu YANG, Hengyi ZHAO, Jian ZHENG

“…When the logging curve data of compensated density, resistivity, and natural gamma are selected as the three-terminal points of the three-terminal tuple chart, different coal body structure types are well distinguished on the three-terminal tuple chart. …”
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AN EMPIRICAL ANALYSIS OF DETERMINANT FACTORS OF THE COMPANY’S CAPITAL STRUCTURE by I. A. Kirshin

Subjects: “…company’s capital structure…”
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Composing dynamic programming tree-decomposition-based algorithms by Julien Baste

Subjects: “…computer science - data structures and algorithms…”
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On the Advice Complexity of Online Matching on the Line by Béla Csaba, Judit Nagy-György

Subjects: “…computer science - data structures and algorithms…”
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Approximating optimization problems in graphs with locational uncertainty by Marin Bougeret, Jérémy Omer, Michael Poss

Subjects: “…computer science - data structures and algorithms…”
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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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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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Subdivisions and crossroads: Identifying hidden community structures in a data archive’s citation network by Sara Lafia, Lizhou Fan, Andrea Thomer, Libby Hemphill

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Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

“…Abstract A large number of in-service reinforced concrete structures are now entering the mid-to-late stages of their service life. …”
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Hierarchical data structures in rendering scenes containing a massive number of light sources by Andrzej Lamecki, Krzysztof Kaczmarski, Joanna Porter-Sobieraj

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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. This study investigates the use of ANN-based approaches to predict the corrosion rates of mild steel reinforcement embedded in cementitious composites subjected to clay-dominated soil environments. …”
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Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…This research presents a more robust, data driven, small‐scale, flood damage estimation approach for residential buildings. …”
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Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

“…Gravity interpretation techniques such as spectral analysis and first horizontal derivative were applied to the reduced gravity data to delineate and model structures to minimize the high investment risks. …”
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Loop Invariants Elimination for Definite Iterations over Unchangeable Data Structures in C Programs by I. V. Maryasov, V. A. Nepomniaschy

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SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…The exponential growth of Real-World Data (RWD), primarily collected from IoT sensors and spanning domains such as mobility, environment, and energy consumption, presents critical challenges due to its scale, heterogeneity, and structural variability. …”
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Topographic and subterranean structural mapping utilizing aerial magnetic and remote sensing data by Suraj Kalgonda Patil, Amanulla Liyakatalli Mulla, Amitkumar Sukumar Sajane

“…The current investigation focuses on conducting surface and subsurface structural mapping of Warana River basin’s Rafin Rewa’s warm spring area and its surroundings utilizing airborne magnetic and topographic datasets. …”
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Structural Analysis of Huaguangtan Arch Dam Based on Data Assimilation Parametric Inversion by LIN Xianzhi, LUO Zenghong, XU Zheng, MIN Jiesheng, CAO Chuanbo, ZHAO Quan

“…Aiming at the difficulty of the accurate safety assessment of the overall structural state of Huaguangtan Arch Dam,a finite element model of the arch dam is established,and the data assimilation algorithm is used to invert the material parameters based on the results of the sensitivity analysis of the mechanical parameters of the arch dam concrete and bedrock.Finally,the material parameters of finite element calculation are calibrated by parameter inversion results.The results show that the residual between the finite element displacement simulation result and the monitoring data conforms to the Gaussian distribution,and its standard deviation after data assimilation parametric inversion is reduced by 81.2%,which improves the accuracy of finite element calculation.This method enables automated operation and provides a reasonable and reliable new idea for the structural safety assessment of arch dams.…”
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Review of the technology used for structural characterization of the GMO genome using NGS data by Kahee Moon, Prakash Basnet, Taeyoung Um, Ik-Young Choi

“…According to CODEX standards, this characterization involves evaluating the presence of introduced genes, insertion sites, copy number, and nucleotide sequence structure. Advances in technology have led to the increased use of next-generation sequencing (NGS) over traditional methods such as Southern blotting. …”
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