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  1. 3381
  2. 3382

    The nexus between structural transformation and poverty reduction in Maghreb region. A sectoral value-added analysis by FREEMAN MUNISI MATEKO

    Published 2025-03-01
    “…ABSTRACT The study examined the relationship between structural transformation and poverty reduction in the Maghreb region. …”
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    Article
  3. 3383

    Aboveground Biomass in West African Semi‐Arid Ecosystems: Structural Diversity, Taxonomic Contributions and Environmental Drivers by Kangbéni Dimobe, Shem Kuyah, Korotimi Ouédraogo, Ebagnerin Jérôme Tondoh, Adjima Thiombiano

    Published 2025-03-01
    “…ABSTRACT The role of plant diversity and biomass in ecosystem functioning and management is well recognized. However, the structural drivers of aboveground biomass (AGB) and their influence across savanna ecosystems remain understudied, particularly in semi‐arid regions. …”
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  4. 3384
  5. 3385

    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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  6. 3386
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  9. 3389

    Studi Perbandingan Kinerja Seismik Bangunan Struktur Baja dengan Menggunakan Pushover dan Time History by imam Abdullah, Novi Asniar, Dedi Budiman

    Published 2025-03-01
    “…Metode penelitian ini adalah kuantitatif dengan data analisis yang digunakan adalah data teknis, geometri dan data parameter gempa. …”
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  10. 3390

    The Lithosphere‐Asthenosphere System Beneath the North Atlantic and Surroundings: Results From Multi‐Observable Probabilistic Inversions by Farshad Salajegheh, Juan Carlos Afonso, Alexander Minakov, Parviz Ajourlou, Carmen Gaina, Olga Ortega‐Gelabert

    Published 2025-02-01
    “…However, our knowledge of the deep lithospheric structure and the physical state and dynamics of the upper mantle is still limited. …”
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  11. 3391

    Structural Analysis and 3D Reconstruction of Underground Pipeline Systems Based on LiDAR Point Clouds by Qiuyao Lai, Qinchuan Xin, Yuhang Tian, Xiaoyou Chen, Yujie Li, Ruohan Wu

    Published 2025-01-01
    “…This study proposes a framework for reconstructing underground pipelines based on unstructured point cloud data, aiming to accurately identify and reconstruct pipe structures from complex scenes. …”
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  12. 3392

    The Performance of an ML-Based Weigh-in-Motion System in the Context of a Network Arch Bridge Structural Specificity by Dawid Piotrowski, Marcin Jasiński, Artur Nowoświat, Piotr Łaziński, Stefan Pradelok

    Published 2025-07-01
    “…In civil and bridge engineering, they can facilitate the identification of specific patterns through the analysis of data acquired from structural health monitoring (SHM) systems. …”
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  13. 3393
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    Artificial Intelligence-Based Approach for Damage Localization in Ultrasonic Guided Wave-Based Structural Health Monitoring by Anastasiia Volovikova, Steffen Freitag, Oliver Schackmann, Vittorio Memmolo, Ahmed Bayoumi, Inka Mueller, Jochen Moll

    Published 2024-12-01
    “…Existing localization approaches are limited through them being applied on defined simple structures and requiring a large amount of data, which is usually unavailable in practical applications. …”
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  15. 3395

    Damage detection in structural health monitoring using hybrid convolution neural network and recurrent neural network by Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, Thanh Bui-Tien, Hung Tran-Viet

    Published 2022-01-01
    “…Different machine learning techniques have been applied to attempt to extract features or knowledge from vibration data, however, they need to learn prior knowledge about the factors affecting the structure. …”
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  16. 3396

    Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network by Thanh Bui-Tien, Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, Hung Tran-Viet

    Published 2021-12-01
    “…Different machine learning techniques have been applied to attempt to extract features or knowledge from vibration data, however, they need to learn prior knowledge about the factors affecting the structure. …”
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  17. 3397
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    Investigating the Relationship between Financialization and Long-Term Use of Short-Term Debt by Seyed Reza Seyed Nezhad Fahim

    Published 2025-09-01
    “…It provides empirical evidence at the firm level and investigates the underlying mechanisms through which financialization influences the long-term use of short-term debt.Keywords: Capital Structure, Debt Maturity Structure, Financialization, Tangible Long-Term InvestmentsJEL Classification: G11، G31، P45  IntroductionAccording to the principle of matching investment and financing maturities, the maturity of a firm's debt should correspond to the maturity of its assets (Chen et al., 2023). …”
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  19. 3399

    Structural modeling of the effect of school culture on psychological well-being with the mediating role of narcissism and achievement emotions by maryam fallahi, samaneh salimi

    Published 2024-11-01
    “…The aim of the present study was to investigate the structural modeling of the effect of school culture on psychological well-being with the mediating role of narcissism and students' progress emotions. …”
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  20. 3400

    Gender-specific perception of job stressors and resources: a structural equation model-based secondary analysis by Angelina Heub, Andrea Schaller, Martin Lange

    Published 2024-12-01
    “…The national representative cross-sectional sample included 4,118 employees. The data were analyzed using structural equation modeling.ResultsCorrelations between quantitative demands, working time, co-worker support, quality of leadership, job control, and subjective perceived stress were first confirmed for a total sample of employees. …”
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