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  1. 1961

    Laser-based Mass Spectrometry for the Identification of Potential Biomarkers and Habitability Indicators on Polygon Structures by Luca N. Knecht, Salome Gruchola, Charles S. Cockell, Scott M. Perl, Mary Beth Wilhelm, Peter Keresztes Schmidt, Coenraad P. de Koning, Marek Tulej, Nicolas Thomas, Peter Wurz, Andreas Riedo

    Published 2025-01-01
    “…The availability and ability to interpret imaging data from orbit enable an easy targeting of polygon structures, thus improving the selection for a landing site with higher potential to detect biosignatures and reducing mission costs by deploying dedicated instrumentation for in situ analysis.…”
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    Article
  2. 1962

    Formation of tight junction-like structures of zonula occludens 2 in platelet–platelet interaction by Magdolna Nagy, Markus Bender, Natalie S. Poulter, Jeremy A. Pike, Albert Sickmann, Sonja Vondenhoff, Natalia Bielicka, Marc A.M.J. van Zandvoort, Rory R. Koenen, Hugo ten Cate, Xavier Stéphenne, Johan W.M. Heemskerk, Constance C.F.M.J. Baaten

    Published 2025-03-01
    “…In a blood sample from a patient deficient in ZO-2, we observed an increased thrombus stability, suggesting a potential regulation of thrombus stability by these TJ-like structures. Conclusion: Jointly, these data point to the assembly of TJ-like structures of interacting platelets, which enforce platelet adhesion contacts but lower 3-dimensional thrombus stability.…”
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  3. 1963

    DNA 5mC methylation inhibits the formation of G-quadruplex structures in the genome by Kangkang Niu, Lijun Xiang, Xiaojuan Zhang, Xiaoyu Li, Tingting Yao, Jin Li, Chu Zhang, Junpeng Liu, Yuling Peng, Guanfeng Xu, Hui Xiang, Hao Wang, Qisheng Song, Qili Feng

    Published 2025-07-01
    “…Abstract Background G-quadruplex structures (G4s) have been identified in the genomes of many organisms and have been proven to play significant epigenetic regulatory roles in gene transcription. …”
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    Article
  4. 1964
  5. 1965

    KNOWLEDGE OF ASSERTIVENESS AMONG ALCOHOLIC DEPENDENTS by S Saravanan

    Published 2014-07-01
    “…Assertiveness scale was used to collect the pre and post-test data from the subjects. The structured teaching program regarding assertiveness was given by dividing subjects into 6 groups. …”
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    Article
  6. 1966
  7. 1967

    An Intelligent Monitoring System for the Safety of Building Structure under the W2T Framework by Haiyuan Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang, Yuzhong Han, Feng Zhang

    Published 2015-08-01
    “…Monitoring systems for the safety of building structure (SBS) can provide people with important data related to main supporting points in a building and then help people to make a reasonable maintenance schedule. …”
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    Article
  8. 1968

    THE ADVANTAGES OF THE DISTRIBUTION FUNCTION AS A METHOD OF GRAPHICAL REPRESENTATION OF THE ECONOMIC STRUCTURE OF SOCIETY by V. A. Kapitanov, A. A. Ivanova, A. Yu. Maksimova

    Published 2018-03-01
    “…The presence of features in the economic structure of society must be reflected in the qualitative behavior of the curves. …”
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    Article
  9. 1969

    Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia. by Hastings Shamaoma, Paxie W Chirwa, Jules C Zekeng, Abel Ramoelo, Andrew T Hudak, F Handavu, Stephen Syampungani

    Published 2025-01-01
    “…The estimation of forest structural data in area-based forest inventories relies on the relationship between field-based estimates of forest structural attributes (FSA) and lidar-derived metrics at plot level, which can be modeled using either parametric or non-parametric regression techniques. …”
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    Article
  10. 1970

    Structural Feature-Preserving Point Cloud Denoising Method for Aero-Engine Profile by Jieqiong Yan, Laishui Zhou, Jun Wang, Xiaoping Wang, Xia Liu

    Published 2022-01-01
    “…In order to ensure that noise is removed without blurring or distorting structural features, a structural feature-preserving point cloud denoising method is proposed. …”
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    Article
  11. 1971

    Structural Component Identification and Damage Localization of Civil Infrastructure Using Semantic Segmentation by Piotr Tauzowski, Mariusz Ostrowski, Dominik Bogucki, Piotr Jarosik, Bartłomiej Błachowski

    Published 2025-07-01
    “…The data includes semantic segmentation masks for both categorizing structural elements (slabs, beams, and columns) and assessing structural damage (concrete spalling or exposed rebars). …”
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    Article
  12. 1972

    Detecting Urban Mobility Structure and Learning Functional Distribution with Multi-Scale Features by Jia Li, Chuanwei Lu, Haiyan Liu, Jing Li, Dewei Zhou, Qingyun Liu

    Published 2025-06-01
    “…However, existing methods have limitations in handling complex urban data and capturing global spatial structure features. …”
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    Article
  13. 1973

    Deep learning of structural morphology imaged by scanning X-ray diffraction microscopy by Aileen Luo, Tao Zhou, Martin V. Holt, Andrej Singer, Mathew J. Cherukara

    Published 2025-07-01
    “…Abstract Scanning X-ray nanodiffraction microscopy is a powerful technique for spatially resolving nanoscale structural morphologies by diffraction contrast. One of the critical challenges in experimental nanodiffraction data analysis is posed by the convergence angle of nanoscale focusing optics which creates simultaneous dependency of the far-field scattering data on three independent components of the local strain tensor—corresponding to dilation and two potential rigid body rotations of the unit cell. …”
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  14. 1974

    Interpretive Structural Modeling of Factors Affecting Organizational Ambidexterity in the Ministry of Sports and Youth by Ainolah Ahmadnejad Joghie, Mozafar Yektayar, Mozhgan Khodamoradpoor

    Published 2022-07-01
    “…The statistical population of this study consisted of experts who were selected purposefully based on theoretical saturation of 15 of them. Semi-structured interviews were used to collect data in the qualitative study and a questionnaire was used to collect data in the quantitative study. …”
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    Article
  15. 1975

    Retracted: Internet of Things Health Detection System in Steel Structure Construction Management by Qinglin Liu, Yongjiang Zhu, Xiongzhou Yuan, Jian Zhang, Rui Wu, Qianwen Dou, Song Liu

    Published 2020-01-01
    “…It is concluded that the time series model established in this study can objectively reflect the change trend and law of strain data, has certain prediction accuracy, and has certain value significance for monitoring data analysis and construction management of steel building structures.…”
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  16. 1976

    Intelligent Identification of Structural Damage Based on the Curvature Mode and Wavelet Analysis Theory by Longsheng Bao, Yue Cao, Xiaowei Zhang

    Published 2021-01-01
    “…Data fitting is then performed to estimate the degree of structural damage. …”
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  17. 1977

    Predictive modeling of visible-light azo-photoswitches’ properties using structural features by Said Byadi, P. K. Hashim, Pavel Sidorov

    Published 2025-04-01
    “…Abstract In this manuscript we present the strategy for modeling photoswitch properties (maximum absorption wavelength and thermal half-life of photoisomers) of visible-light azo-photoswitches using structural data. We compile a comprehensive data set from literature sources and perform a rigorous benchmark to select the best feature type and modeling approach. …”
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  18. 1978
  19. 1979

    Predictive Technology Assessment by Means of a Structure-Based Method of Machine Learning by Manja Mai-Ly PFAFF, Uwe FRIEß, Andreas OTTO, Matthias PUTZ

    Published 2020-11-01
    “…Based on this algorithm, correlation considerations can be performed on the data structure, the measured variables, and the diagnostic parameters. …”
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  20. 1980

    Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration by Pushpendra Raghav, Mukesh Kumar, Yanlan Liu

    Published 2024-08-01
    “…In contrast, a ML approach, wherein the model structure is learned from the data, outperforms traditional models, thus highlighting that there still is significant room for improvement in the structure of traditional models for predicting ET. …”
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