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    Integrating numerical simulation and experimental data for enhanced structural health monitoring of bridges by Om Narayan Singh, Kaushik Dey

    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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    Article
  5. 145

    Structural Safety Evaluation of Tunnel Based on the Dynamic Monitoring Data during Construction by Xiaokun Yan, Hu Li, Feng Liu, Yang Liu

    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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    Article
  6. 146

    The Impact of Structural Funds on Regional Growth: A Panel Data Spatial Analysis by Micaela Antunes, Miguel Viegas, Celeste Varum, Carlos Pinho

    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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    Article
  7. 147

    THE CENOZOIC CRUSTAL STRESS STATE OF MONGOLIA ACCORDING TO GEOLOGICAL AND STRUCTURAL DATA (REVIEW) by V. A. Sankov, A. V. Parfeevets

    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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  8. 148

    Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance by Keith Marsolo, Lesley Curtis, Laura Qualls, Jennifer Xu, Yinghong Zhang, Thomas Phillips, C. Larry Hill, Gretchen Sanders, Judith C. Maro, Daniel Kiernan, Christine Draper, Kevin Coughlin, Sarah K. Dutcher, José J. Hernández‐Muñoz, Monique Falconer

    Published 2025-04-01
    “…Abstract Introduction (1) Assess the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues. (2) Identify issues of data completeness by comparing complementary data domains, stratifying by time, care setting, and provenance. …”
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  9. 149

    Research of unstructured data interpretation problems by V. S. Tomashevskaya, D. A. Yakovlev

    Published 2021-03-01
    Subjects: “…unstructured data…”
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  10. 150
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    Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review by Stella Dimitsaki, Pantelis Natsiavas, Marie-Christine Jaulent

    Published 2024-12-01
    “…There are several instances of AI approaches applied to RWD; however, most studies focus on unstructured RWD (conducting natural language processing on various data sources, eg, clinical notes, social media, and blogs). …”
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    Article
  12. 152

    AN EMPIRICAL ANALYSIS OF DETERMINANT FACTORS OF THE COMPANY’S CAPITAL STRUCTURE by I. A. Kirshin

    Published 2017-10-01
    Subjects: “…company’s capital structure…”
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    Article
  13. 153

    Artificial Intelligence for Unstructured Data Processing by Yohanes Bowo Widodo, Febrianti Widyahastuti, Mohammad Narji, Sondang Sibuea

    Published 2025-03-01
    “…In the digital era, the volume of unstructured data such as text, images, audio, and video continues to increase exponentially. …”
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    Article
  14. 154

    Structural applications of CODE_BRIGHT: a review on numerical modelling of reinforced soil structures by Aníbal Moncada, Aníbal Moncada, Ivan P. Damians, Ivan P. Damians, Ivan P. Damians

    Published 2025-05-01
    “…The present document presents a review on the use of the finite element software package CODE_BRIGHT to simulate reinforced soil structures (RSS). RSS are composed of longitudinal steel or polymeric materials, placed orthogonal to the main stress direction in a soil mass, acting as tension-bearing elements. …”
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  15. 155

    Mathematical methods of data processing in the formation and evaluation of sectoral structure in agricultural enterprises by T. Kalashnikova, І. Кoshkalda, O. Тrehub

    Published 2019-08-01
    “…This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. …”
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    Article
  16. 156

    Minimal‐cost route planning via Fibonacci‐heap‐typed data structure by Wangjia Zhan, Haohao Qiu, Bo Min, Lin Lin

    Published 2024-11-01
    “…To achieve this, the reachability determination algorithm is designed to assess the courier company's reachability to all junctions based on the queue‐typed data structure and breadth‐first search idea. Subsequently, the minimal‐cost route planning algorithm is developed to find a feasible transport route with the minimal cost of clearing obstacles by resorting to the Edmonds' algorithm and some feasible data structures. …”
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  17. 157

    Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

    Published 2025-04-01
    “…Abstract Network anomaly detection using graph-structured data is a critical task in data mining and cybersecurity, involving the identification of unusual patterns within a network by analyzing its structure as a graph. …”
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  18. 158

    Accounting for population structure and data quality in demographic inference with linkage disequilibrium methods by Enrique Santiago, Carlos Köpke, Armando Caballero

    Published 2025-07-01
    “…Abstract Linkage disequilibrium methods for demographic inference usually rely on panmictic population models. However, the structure of natural populations is generally complex and the quality of the genotyping data is often suboptimal. …”
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    Aligning EMR Structure with Treatment Cycles: Enhancing Data Management and CDSS Functionality by Ali Azadi, Francisco José García-Peñalvo

    Published 2025-05-01
    “…Electronic medical records (EMRs) are fundamental to clinical decision support systems (CDSS). Conventional EMR structures still fail to capture the cyclical nature of treatment plans, leading to fragmented data representation and reduced decision accuracy. …”
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