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241
Research on maintenance procedures of structural standard practices for civil aircraft
Published 2025-04-01Subjects: Get full text
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242
Virtual Reconstruction of no longer Existing Archaeological Structures in Highly Urbanized Areas
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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243
Uncertainty-Based Fusion Method for Structural Modal Parameter Identification
Published 2025-07-01Get full text
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244
Analyzing the function of metaverse technology in the retention and absorption of knowledge using the integrated approach of interpretive structural modeling and structural equatio...
Published 2024-10-01“…This problem affects the validity of interpretive structural modeling approach. To solve this problem and in order to validate the presented model resulting from the interpretive structural modeling approach, the structural equation modeling approach and Smart PLS software were used. …”
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245
Local Structural Indices Changes During Different Periods of Postherpetic Neuralgia: A Graphical Study in Structural Covariance Networks
Published 2025-03-01“…Eglobal and Lp can be considered as potential imaging markers for future clinical restaging of PHN.Keywords: herpes zoster, postherpetic neuralgia, structural covariance network, graph theory, small world, cortical thickness…”
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246
Topographic and subterranean structural mapping utilizing aerial magnetic and remote sensing data
Published 2024-08-01“…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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247
Structural Analysis of Huaguangtan Arch Dam Based on Data Assimilation Parametric Inversion
Published 2023-01-01“…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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248
Review of the technology used for structural characterization of the GMO genome using NGS data
Published 2024-10-01“…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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249
Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data
Published 2025-06-01“…For structural data, it incorporates white matter connectomes of 1,065 subjects and cortical thickness profiles of 200 subjects both from the Human Connectome Project. …”
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250
Data collection and transmission strategies for structural safety monitoring of large-scale infrastructure
Published 2025-03-01Subjects: Get full text
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251
Monte Carlo Evaluation of the Methods Estimating Structural Change Point in Panel Data
Published 2019-06-01Subjects: Get full text
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252
Integrating numerical simulation and experimental data for enhanced structural health monitoring of bridges
Published 2025-03-01“… The research described in this paper aims to enhance the structural health monitoring (SHM) of highway bridges by integrating numerical simulations with experimental data. …”
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253
Structural Safety Evaluation of Tunnel Based on the Dynamic Monitoring Data during Construction
Published 2021-01-01“…It is still a challenge to accurately evaluate the structural safety of tunnel during the process of construction. …”
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254
The Impact of Structural Funds on Regional Growth: A Panel Data Spatial Analysis
Published 2020-10-01“…However, the new economic geography states that structural funds may also facilitate the geographic concentration of economic activities, thus perpetuating regional imbalances. …”
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255
THE CENOZOIC CRUSTAL STRESS STATE OF MONGOLIA ACCORDING TO GEOLOGICAL AND STRUCTURAL DATA (REVIEW)
Published 2020-12-01“…The studies commenced in the southern Baikal rift zone in the 1970s and were extended further southwards to cover mobile regions neighbouring the Siberian platform. Geological, structural and morphostructural data were collected and analysed to define the crustal stress types and spatial characteristics. …”
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256
A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data
Published 2021-01-01“…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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257
Subdivisions and crossroads: Identifying hidden community structures in a data archive’s citation network
Published 2022-11-01Get full text
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258
Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures
Published 2025-06-01“…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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259
Hierarchical data structures in rendering scenes containing a massive number of light sources
Published 2022-09-01Get full text
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260
Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils
Published 2025-07-01“…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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