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  1. 1701

    Examination of Fourth-Grade Students’ Mental Structures Regarding Natural Disasters by Elif Bayer Kurt, Özlem Özçakır Sümen

    Published 2023-12-01
    “…Mind maps and semi-structured interview forms were used as data collection tools. …”
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    Article
  2. 1702

    New spin structure constraints on hyperfine splitting and proton Zemach radius by David Ruth, Karl Slifer, Jian-Ping Chen, Carl E. Carlson, Franziska Hagelstein, Vladimir Pascalutsa, Alexandre Deur, Sebastian Kuhn, Marco Ripani, Xiaochao Zheng, Ryan Zielinski, Chao Gu

    Published 2024-12-01
    “…Here we present improved results for Δpol driven by new spin structure data, reducing the long-standing tension between theory and experiment and halving the dominating uncertainty in hyperfine splitting calculations.…”
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  3. 1703

    Research on the Application of Deep Learning Algorithm in the Damage Detection of Steel Structures by Qingyun Ge, Caimei Li, Fulian Yang

    Published 2025-01-01
    “…Transfer learning strategies were successfully implemented to adapt the model to different structural contexts, addressing the challenge of limited labeled data. …”
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    Article
  4. 1704

    Intelligent Hybrid SHM-NDT Approach for Structural Assessment of Metal Components by Romaine Byfield, Ahmed Shabaka, Milton Molina Vargas, Ibrahim Tansel

    Published 2025-07-01
    “…Structural health monitoring (SHM) plays a pivotal role in ensuring the integrity and safety of critical infrastructure and mechanical components. …”
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    Article
  5. 1705

    Effect of the Organobentonite Filler on Structure and Properties of Composites Based on Hydroxyethyl Cellulose by Olga V. Alekseeva, Anna N. Rodionova, Nadezhda A. Bagrovskaya, Alexander V. Agafonov, Andrew V. Noskov

    Published 2017-01-01
    “…Hydroxyethyl cellulose (HEC) was filled with organobentonite particles by mechanical dispersion, and produced composite films were researched by the number of methods. New data relating to structure, tensile properties, and antimicrobial activity of HEC/organobentonite composites were obtained. …”
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    Article
  6. 1706

    An Unsupervised Fake News Detection Framework Based on Structural Contrastive Learning by Yajie Guo, Shujuan Ji, Xianwen Fang, Dickson K. W. Chiu, Ning Cao, Hofung Leung

    Published 2025-06-01
    “…To deal with this problem, in this paper, we propose a novel unsupervised fake news detection framework based on structural contrastive learning by combining the propagation structure of news and contrastive learning to achieve unsupervised training. …”
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    Article
  7. 1707

    Myopia and age-related macular degeneration: structural and anatomical changes of the eye by I. B. Alekseev, Ju. A. Nam

    Published 2019-08-01
    “…The former included the patients’ age, best corrected visual acuity (BCVA), computer perimetry data, the axial length, and the thickness of the retina in the central zone. …”
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    Article
  8. 1708

    Protein structural domain-disease association prediction based on heterogeneous networks by Jingpu Zhang, Lianping Deng, Lei Deng

    Published 2025-04-01
    “…Abstract Background Domains can be viewed as portable units of protein structure, folding, function, evolution, and design. …”
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    Article
  9. 1709
  10. 1710

    THE UTILIZATION STRUCTURE OF THERMAL WATER WELLS AND ITS UNEXPLOITED CAPACITIES IN HUNGARY by BALÁZS KULCSÁR

    Published 2014-12-01
    “…The calculations performed for the evaluation of data have been based on the ratios and respective utilization areas of the existing wells. …”
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    Article
  11. 1711

    ETIOPATHOGENETIC APPROACH TO MANAGING PATIENTS WITH ACUTE INFLAMMATION OF THE MIDDLE EAR STRUCTURES by M.I. Bezeha

    Published 2018-07-01
    “…When prescribing the treatment of patients with acute mastoiditis, it is necessary to take into account, in addition to clinical signs of disease, the data of cone-beam CT, the presence of atticoantral connection, which probably depends on the anatomical features of the structure of the middle ear and the severity and prevalence of inflammatory process. …”
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    Article
  12. 1712
  13. 1713

    Polyprenylated acylphloroglucinols from Garcinia species and structural revision of seven analogues by Yong-Ge Fu, Yi-Qi Huang, Zhi-Hong Xu, Xia Liu, Xing-Wei Yang

    Published 2025-05-01
    “…Their structures were elucidated by interpretation of NMR and MS spectroscopic data. …”
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    Article
  14. 1714

    An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds by Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng

    Published 2025-01-01
    “…A fundamental challenge in tunnel point cloud processing is to efficiently manage massive datasets using appropriate data structures and accurately extract features such as tunnel axes and cross-sections. …”
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    Article
  15. 1715

    Predicting the Probability of Failure in Truss Structures Using Artificial Neural Networks by Mohammadreza Gholami, Seyed Ahmad Mobinipour, Mohammad Javad Haji Mazdarani, Seyed Rohollah Hoseini Vaez

    Published 2025-10-01
    “…Reliability and safety evaluation is a significant topic in structural engineering. The main issues in structural reliability assessment are the excessive computational cost as well as the accuracy. …”
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  16. 1716
  17. 1717

    Dielectric constant prediction in polymers: A chemical structure based approach by S. Sharifi, S. Bonardd, L.A. Miccio

    Published 2025-07-01
    “…Additionally, we implemented an extension of this approach to also handle SMILES-based polymer representations, allowing approximated predictions for molecular structures without available crystallographic data. …”
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  18. 1718

    The Structure and Organization of Medical Care for Victims With Thermal Trauma in Emergency Situations by V. S. Borisov, S. A. Gumenyuk, A. V. Sachkov, V. I. Potapov, V. G. Teryaev, N. A. Karasev

    Published 2021-04-01
    “…The increase of an urban population in Russia up to 73% results in considerable human victims in big cities due to thermal injuries among others.THE AIM of the present research is to analyze the structure of ES victims and the efficiency of the organization of a medical care for victims with thermal injuries in Moscow in 2016–2018.MATERIAl AND METHODS We have held a retrospective analysis of 113 cases of patients of a Burn Center of Sklifosovsky Research Institute for Emergency Medicine of the Moscow Health Department, and have studies the data of an automated informational analytical system named “Emergency Medicine” for 2016 2018.RESUlTS For an absolute number of victims, fires are on the third place among different emergencies in Moscow, but on the pre­hospitalization stage, the biggest number of deaths are registered (38,2%). …”
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  19. 1719
  20. 1720

    IWOA-LSTM based intrinsic structural identification of steel fiber concrete by Ping Li, Jie Feng, Shiwei Duan

    Published 2025-07-01
    “…The degree of approximation between the IWOA-LSTM model’s prediction and experimental data shows that the trained model has a high learning accuracy and good generalization capability, making it appropriate for use in structural engineering applications.…”
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