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  1. 861

    Influence of Potting Radius on the Structural Performance and Failure Mechanism of Inserts in Sandwich Structures by Filippos Filippou, Alexis Τ. Kermanidis

    Published 2025-01-01
    “…The methods of stiffness degradation and acoustic emissions (AE) were employed for structural health monitoring to capture real-time data on failure progression, including core buckling, core rupture, and skin delamination. …”
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  2. 862

    Analysis of the Exports Structure from the Russian Federation in the light of the Theory of Technological Structures by A. S. Linnikov

    Published 2019-01-01
    “…The state of the modern Russian economy is considered from the point of view of the technological structures concept. On the basis of this theory, the author presents a structural section of the domestic economy from the point of view of each technological structure, as well as a comparative analysis of data on the Russian economy with the performance of the economies of other countries of different technological development levels. …”
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  3. 863
  4. 864

    Is the real sector structure the determining factor of the financial sector structure of Iran's economy? by Seyedrohollah Ahmadi Hajiabadi

    Published 2022-11-01
    “…Due to the lack of a similar internal study, statistical data for Iran's economy in the period of 1357-1399 was collected and in the first step, using the Gregory-Hansen cointegration test, the hypothesis of the existence of a long-term relationship between the real structure, the financial structure and other control variables have been investigated. …”
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  5. 865
  6. 866
  7. 867

    Three-Dimensional Thermohaline Reconstruction Driven by Satellite Sea Surface Data Based on Sea Ice Seasonal Variation in the Arctic Ocean by Xiangyu Wu, Jinlong Li, Xidong Wang, Zikang He, Zhiqiang Chen, Shihe Ren, Xi Liang

    Published 2024-10-01
    “…The statistical regression experiments reveal that salinity errors in ice-free regions are caused by inaccuracies in the satellite salinity data, while temperature errors in ice-covered areas mainly result from the inadequate representation of the under-ice temperature structure of the reanalysis data. …”
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  8. 868

    Neglected flow direction detection in landfill water cycle: Precise characterization of leachate distribution through joint inversion of electrical resistivity and self-potential d... by Xiaochen Sun, Xu Qian, Ya Xu, Changxin Nai, Yuqiang Liu

    Published 2024-01-01
    “…To accurately quantify this concealed hydrological process, we propose a method for detecting leachate leakage based on joint inversion of multi-source geophysical exploration data. By integrating multiple geophysical exploration data (resistivity and self-potential information), we reconcile the spatial differences in different exploration data to improve the accuracy of leachate and its pollution plume imaging. …”
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  9. 869

    The 3‐D geological model around Chang'E‐3 landing site based on lunar penetrating radar Channel 1 data by Yuefeng Yuan, Peimin Zhu, Na Zhao, Long Xiao, Edward Garnero, Zhiyong Xiao, Jiannan Zhao, Le Qiao

    Published 2017-07-01
    “…Abstract High‐frequency lunar penetrating radar (LPR) data from an instrument on the lunar rover Yutu, from the Chang'E‐3 (CE‐3) robotic lander, were used to build a three‐dimensional (3‐D) geological model of the lunar subsurface structure. …”
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  10. 870

    Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

    Published 2025-01-01
    “…The simulation results show that the entire routine, encompassing RPM modeling, MIZ characterization, structural fusion, and SAR raw data generation, yields promising results in the realm of sea-ice remote sensing. …”
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  11. 871

    Therapeutic potential of a drug based on avocado and soy unsaponifiable compounds in the treatment of osteoarthritis: data from Russian and international studies (descriptive revie... by A. E. Karateev, A. M. Lila

    Published 2022-05-01
    “…According to the results of the presented studies, ASACs have proven efficacy in reducing the intensity of pain and dysfunction in knee OA. There are data confirming the structure-modifying effect of ASACs in OA of the hip joint (HJ). …”
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  12. 872
  13. 873

    Advancing thyroid diagnosis: integrating AI-driven CAD framework with numerical data and ultrasound images by Saleh Ateeq Almutairi

    Published 2025-07-01
    “…The proposed CAD framework employs the sparse search algorithm (SSA) for optimized feature selection from numerical data and the tree-structured Parzen estimator for tuning the hyperparameters. …”
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  14. 874

    Association of radiographic structure deformity phenotypes of knee OA to clinical symptoms and risk for progression: Proposing a modification of Kellgren-Lawrence grade - Data from the Osteoarthritis Initiative and the MOST study by Sunho Ko, Yunhee Choi, Hyuk-Soo Han, Seong Hwan Kim, Du Hyun Ro

    Published 2025-03-01
    “…Design: We used radiographic grading data provided by the OAI and MOST study. Decision tree was used to (1) Find OARSI grade criteria for each KLG and (2) Phenotype early osteoarthritic knees (=KLG1, 2) by the radiographic structure changes. …”
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  15. 875

    Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network by Zhiguang Tang, Xiangdong Wang, Qin Jiang, Haizhu Pan, Gang Deng, He Chen, Yuanhong You, Sijia Li, Haiyan Hou

    Published 2025-08-01
    “…Ultimately, a parcel-scale random forest (RF) model was developed to enable accurate crop type classification and spatial delineation of crop planting structures. Results show: 1) SEANet achieves accurate extraction of parcel boundaries, extracting a total of 175,000 parcels, and demonstrates a relative error of 6.98% compared to statistical yearbook data. …”
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  16. 876

    Does teaching quality matter for Nordic primary school students’ mathematics confidence and mathematics achievement? A multilevel structural equation analysis of Nordic TIMSS 2019 grade 4 data by Lena Asp, Alli Klapp, Monica Rosén

    Published 2025-03-01
    “…To capture the hierarchical structure of the data, multilevel structural equation modelling (MSEM) is used as it keeps individual and classroom variation separate when investigating relations between teaching quality, mathematics confidence and mathematics achievement. …”
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    Article
  17. 877

    A Methodology of Real-Time Data Fusion for Localized Big Data Analytics by Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omar Aldabbas, Muhammad Asif, Shehzad Khalid, Kijun Han, Syed Hassan Ahmed

    Published 2018-01-01
    “…These approaches bring the issues especially concerning network capacity, specialized tools and applications not capable of being trained in a short period. Furthermore, raw data generated through IoT forming big data comes with the capability of producing highly unstructured and heterogeneous form of data. …”
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  18. 878

    NUMERICAL DISCRETISATION OF BUILT STRUCTURES ASSUMPTION AND REALITY by Marc Gutermann, Carsten Schröder

    Published 2016-12-01
    “…However, dealing with real problems, an appropriate numerical discretization of built structures is in many cases a difficult task, since fundamental input data concerning the actual properties of the structure, material and the mechanical boundary condition couldn’t always be met. …”
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  19. 879

    Advanced modelling of concrete structures for improved sustainability by Jiří Rymeš, Jan Červenka, Radomír Pukl

    Published 2022-12-01
    “…The safe and long-term serviceability of concrete structures is one of the methods how to improve the sustainability of the concrete industry. …”
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  20. 880

    Teachers’ Perceptions Regarding Bureaucratic Structures In Schools by Kadir Beycioğlu, Ayça İrem Yılmaz

    Published 2017-10-01
    “…The aim of this research is to reveal teachers’ perceptions regarding the bureaucratic structures in schools that they have been working. Data of the study were collected via qualitative analysis. …”
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