Untrained perceptual loss for image denoising of line-like structures in MR images. by Elisabeth Pfaehler, Daniel Pflugfelder, Hanno Scharr

“…We hereby translate the Perceptual Loss to 3D data by comparing feature maps of untrained networks in the loss function. …”
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Divergent dynamics of surface water patterns and structures in Europe's coastal-zone basins by Liumeng Chen, Yongchao Liu, Jialin Li, Chao Ying, Peng Tian, Wenfei Kuang, Qiyu Huang, Tian Zheng

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STRUCTURAL-COMPOSITIONAL MODEL OF THE NYURBINSKAYA KIMBERLITE PIPE FORMATION (SREDNE-MARKHA AREA OF THE YAKUTIAN DIAMONDIFEROUS PROVINCE) by A. S. Gladkov, D. A. Koshkarev, A. V. Cheremnykh, F. João, M. A. Karpenko, M. V. Marchuk, I. A. Potekhina

“…Analysis of different faults and tectonic fracturing allowed to reconstruct the tectonic stress fields acting at the stage of the kimberlite body formation and to determine their occurrence sequence in time. The data obtained about regularities of the Nyurbinskaya pipe compositional structure and results of geologo-structural studies are combined in a single structural-compositional model of the deposit formation. …”
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GULP. II. Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 by Beena Meena, Elena Sabbi, Peter Zeidler, Bruce G. Elmegreen, Jan J. Eldridge, Varun Bajaj, Mario Gennaro, Anna Pasquali, Debra M. Elmegreen, Ralf S. Klessen, Linda J. Smith, Luciana Bianchi, Aida Wofford, Pietro Facchini, John S. Gallagher III, Daniela Calzetti, Eva K. Grebel, Angela Adamo, (GULP)

“…We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf starburst galaxy NGC 4449 using data from the GULP survey. …”
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Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

“…Due to gravitational sorting during downslope transport and complex topographic constraints in narrow valleys, these dams generally exhibit inherently three-dimensional (3D), spatially heterogeneous internal structures. However, most existing breach simulation models assume material homogeneity for computational convenience, neglecting the influence of real-world structural non-uniformity. …”
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Optimisation of the performance and structure of soluble ball seat metal sealing rings based on response surface by CHEN Zhen, RAN Qingjie, CHEN Nengpeng, WANG Qiaomu

“…On this basis, the Box-Behnken design is used to construct a four-factor and three-level experimental scheme, and a second-order response surface agent model is established by 25 sets of simulation data, with the dual optimization objectives of minimizing the equivalent force and maximizing the contact pressure, and the relationship between the structural parameters and the equivalent force and the contact pressure as the optimization function, and the range of geometrical parameters as the boundary conditions. …”
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scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data by Qing Xie, Wang Meng, Shili Lin

“…Results We propose scHiCSRS, a self-representation smoothing method that improves data quality, and a Gaussian mixture model that identifies structural zeros among observed zeros. scHiCSRS not only takes spatial dependencies of a scHi-C data matrix into account but also borrows information from similar single cells. …”
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Application of the polynomial chaos expansion method for forecasting structural response of two full-scale case studies by Georgijev Viktor, Bogoevska Simona

Subjects: “…structural health monitoring…”
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Applying Structural Equation Modeling to Second-language (L2) Research: Key Concepts and Fundamental Reconsiderations by حسام الدین قنبر

Subjects: “…structural equation modeling…”
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Longitudinal analysis of lower limb muscle activity and ankle tendon biosignals using structural equation modeling by Tatsuhiko Matsumoto, Yutaka Kano

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Dataset for evaluation and numerical modelling of structural performance of fibre-reinforced shotcrete with fibres of steel, synthetic and basaltMendeley Data by Andreas Sjölander, Erik Nordström, Anders Ansell

“…This could be used to get an indication of the required dosage of each fibre type to fulfil structural requirements. The raw data from the test machine is valuable for the numerical modelling of fibre-reinforced shotcrete. …”
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Modeling of potential field data for detecting structural and tectonic framework of Esh El Mellaha area, Red Sea, Egypt by Abdelbaset M. Abudeif, Zakaria Hamimi, Gaber M. Gaber, Adel Kotb, Nasir Alarifi, Stefano Bellucci, Marwa M. Masoud

“…To achieve this goal, Bouguer gravity and aeromagnetic data were used, processed and analyzed. Various depth estimation techniques were employed to analyze subsurface structures, each offering distinct advantages. …”
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Structural deformation in central Cuba and implications for the petroleum system: new insights from 3D inversion of gravity data by José Alberto Batista-Rodríguez, Marco Antonio Pérez-Flores, Jesús Blanco-Moreno, Luis Fernando Camacho-Ortegón

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Express Analysis of the Structural and Electronic Properties of Nanomaterials Using Big Data, Large Language Models and Generative Artificial Intelligence by N. A. Shymanski, A. V. Baglov, Kh. B. Musaev, O. N. Ruzimuradov, L. S. Khoroshko

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Empirical Investigation of the Effects of the Measurement-Data Size on the Bayesian Structural Model Updating of a High-Speed Railway Bridge by Kodai Matsuoka, Haruki Yotsui, Kiyoyuki Kaito

“…Bayesian structural model updating (SMU) is among the most powerful methods for estimating the bending stiffness and modal damping of high-speed railway (HSR) bridges and predicting their bridge-response-based resonance responses. …”
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Characterizing forest structural changes in response to non-stand replacing disturbances using bitemporal airborne laser scanning data by Tommaso Trotto, Nicholas C. Coops, Alexis Achim, Sarah E. Gergel, Dominik Roeser

“…These findings showed the potential of bitemporal ALS data in characterizing structural changes due to ESB infestations at fine scale based on canopy cover and height, relevant for forest management strategies to better target current and future infestations.…”
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Sensitivity to change of structural outcomes in axial spondyloarthritis after 10 years of follow up. Data from the DESIR cohort by Sofia Ramiro, Maxime Dougados, Anna Molto, Clementina López-Medina, Alexandre Sepriano, Anne Tournadre

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Analysis of the structural integrity of a frozen wall during a mine shaft excavation using temperature monitoring data by Lev Levin, Mikhail Semin, Ivan Golovatyi

“…The obtained dependencies of the maximum external load on the FW can be used to optimize the operation mode of the freezing station at the ice holding stage (or passive freezing) to increase the energy efficiency of the system and ensure the structural integrity of the FW.…”
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Structural Condition Assessment and Temperature Effect Analysis of Cable–Pylon Anchorage Zone Using Long-Term SHM Data by Hanhui Ye, Zhijian Chen

“…Based on long-term structural health monitoring data, the signals were decomposed and reconstructed at multiple time scales, confirming temperature to be the main factor causing the stress change in the anchorage zone. …”
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Tendon Anomaly Identification in Prestressed Concrete Beams Based on an Advanced Monitoring MEMS and Data-Driven Detection of Structural Damage by Giorgio de Alteriis, Giulio Mariniello, Tommaso Pastore, Alessia Teresa Silvestri, Giuseppe Augugliaro, Ida Papallo, Canio Mennuti, Antonio Bilotta, Rosario Schiano Lo Moriello, Domenico Asprone

“…The integration of MEMS sensors into structural health monitoring (SHM) systems offers a promising approach to long-term structural maintenance, especially in large-scale infrastructure. …”
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