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  1. 1661

    Sustainable Valorization of Jackfruit Peel Waste: Bio‐Functional and Structural Characterization by Rangina Brahma, Subhajit Ray, Prakash Kumar Nayak, Kandi Shridhar

    Published 2025-03-01
    “…Therefore, this study aimed at the bio‐functional and structural characterization of A. heterophyllus peel waste for unlocking its potential for food applications. …”
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    Article
  2. 1662

    GIS-MONITORING FORMATION OF ETHNIC STRUCTURE OF POPULATION OF URBAN AGLOMERATIONS IN RUSSIA by A. A. Cherkasov, N. V. Sopnev, V. R. Gaydukov

    Published 2022-07-01
    “…At the same time, in modern conditions, Russian agglomerations have become attractive for a multi-ethnic migration flow, which leads to a change in the ethnic structure of the population not only in the core cities, but also in suburban areas. …”
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  3. 1663

    Analysis of argument structure constructions in a deep recurrent language model by Pegah Ramezani, Pegah Ramezani, Achim Schilling, Achim Schilling, Patrick Krauss, Patrick Krauss

    Published 2025-06-01
    “…This supports the hypothesis that hierarchical linguistic structure can emerge through prediction-based learning. …”
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  4. 1664

    DYNAMICS, STRUCTURE AND DRIVERS OF FISH CATCH IN RUSSIAN FEDERATION (2005–2017) by V. V. Samoylenko

    Published 2019-03-01
    “…The main trends in fisheries are considered by the fishery basins, including dynamics of annual catches and changes in their structure, both for inland and marine areas, on the data of fishery statistics for 2005–2017. …”
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  5. 1665

    Geology and sandbox analogue modelling of the Karatau structural complex (Southern Urals) by Farkhutdinov Anvar, Lallemant Siegfried, Maillot Bertrand, Farkhutdinov Iskhak, Khakimova Svetlana

    Published 2025-01-01
    “…The Karatau structural complex (KSC) is one of the most complicated geological structures of the Southern Urals. …”
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  6. 1666

    Neonatal brain injury influences structural connectivity and childhood functional outcomes. by Alice Ramirez, Shabnam Peyvandi, Stephany Cox, Dawn Gano, Duan Xu, Olga Tymofiyeva, Patrick S McQuillen

    Published 2022-01-01
    “…To explore neural correlates of adverse language outcomes in CHD, we used hypothesis-based and data-driven approaches to identify pathways with altered structural connectivity. …”
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  7. 1667

    Spatial and Spectral Structure-Aware Mamba Network for Hyperspectral Image Classification by Jie Zhang, Ming Sun, Sheng Chang

    Published 2025-07-01
    “…Originally designed for 1D causal sequence modeling, Mamba is challenging for HSI tasks that require simultaneous awareness of spatial and spectral structures. Current Mamba-based HSI classification methods typically convert spatial structures into 1D sequences and employ various scanning patterns to capture spatial dependencies. …”
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  8. 1668

    Spatial–Temporal Variability of Soybean Yield Using Separable Covariance Structure by Tamara Cantú Maltauro, Miguel Angel Uribe-Opazo, Luciana Pagliosa Carvalho Guedes, Manuel Galea, Orietta Nicolis

    Published 2025-05-01
    “…Modeling the spatiotemporal dependency structure through geostatistical methods is essential for accurately estimating the parameters that define this structure and for performing Kriging-based interpolation. …”
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    Article
  9. 1669

    Development of a structural equation model for sustainable construction practices in Nigeria by H. C. O. Unegbu, D. S. Yawas, B. Dan-asabe, A. A. Alabi

    Published 2025-02-01
    “…Abstract This study develops a sustainability model to promote sustainable construction practices in Nigeria. Utilizing Structural Equation Modeling (SEM), the research investigates the interrelationships among several independent latent constructs—organizational culture, government policies, financial implications, stakeholder processes, and technology availability—and their effects on sustainability outcomes. …”
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  10. 1670

    Evaluation of the genetic diversity and population structure of 5 pheasant breeds in Shanghai by Lina Qi, Xianyu Li, Jingle Jiang, Wengang Zhang, Xuelin Lu, Hongyan Yuan, Weijian Zhang

    Published 2025-02-01
    “…Understanding their genetic diversity and population structure is important for future advancements in pheasant breeding. …”
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    Article
  11. 1671

    Investigation of Colloidal Structure and Biopharmaceutical Properties of New Antibacterial Composition of Gramicidin S by A. A. Drannikov, I. S. Vatlin, M. Е. Trusova, A. Di Martino, S. V. Krivoshchekov, А. M. Guriev, M. V. Belousov

    Published 2021-11-01
    “…Investigation of colloidal structure and biopharmaceutical properties of new gramicidin S antibacterial composition.Materials and methods. …”
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  12. 1672
  13. 1673

    Push Factors of Population Migration in Russian Regions in Terms of Age Structure by Evgeniya Mikhailovna Moiseeva

    Published 2025-06-01
    “…The relationship between the age structure and the intensity of migration is two-way. …”
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    Article
  14. 1674

    Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome by Yifei He, Yoonmi Hong, Ye Wu

    Published 2024-12-01
    “…Laterality indices were computed for six popular biological features, including four microstructural measures (AD, FA, RD, and T1/T2 ratio) and two structural features (fiber length and connectivity) for each brain region. …”
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  15. 1675

    Analysis of knee fold structure model in Nanchuan Block of southeastern Chongqing by NI Feng,ZHU Feng,MENG Qingli

    Published 2024-06-01
    “…Previously, the structural interpretation of the Nanchuan block primarily identified faulted anticlines constrained by major reverse faults, without adequately addressing the structural deformation across the entire belt. …”
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  16. 1676

    STRUCTURAL AND FUNCTIONAL CONDITION OF THE KNEE JOINT IN PATIENTS WITH MONOGONARTHROSIS IN THE STAGE OF EXACERBATION by Taras Khanyk

    Published 2022-06-01
    “…The goal is to study the structural changes of the elements of the knee joint and their functional consequences in patients with monogonarthrosis of the 1st-2nd grade in the stage of exacerbation according to the data of a complex clinical and arthroscopic study. …”
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  17. 1677

    Changes in the Structural and Functional Albumin Properties in Patients with Decompensated Liver Cirrhosis by A. A. Turkina, M. V. Maevskaya, M. S. Zharkova, V. T. Ivashkin

    Published 2023-06-01
    “…Аim: to conduct a comparative analysis of serum albumin's structural and functional properties in decompensated cirrhotic patients by means of spin prob EPR spectroscopy.Materials and methods. …”
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  18. 1678

    Nutrition Users’ Guides: an introduction to structured guides to evaluate the nutrition literature by Gordon H Guyatt, Bradley C Johnston, Malgorzata M Bala, Kevin C Klatt, Mary Rozga, Rosa K Hand, Deepa Handu

    “…In addition, NUGs will provide comprehensive teaching materials for nutrition trainees on how to appraise, interpret and apply the research evidence.We hereby introduce a series of structured NUGs for the literature on nutrients, foods and dietary patterns and programmes. …”
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  19. 1679

    Diagnosis of latent forms of renal pathology by the structure of the solid phase of urine by I. S. Shatokhina, S. N. Shatokhina, V. N. Shabalin

    Published 2022-11-01
    “…Purpose: to reveal the hidden signs of the pathology of the urinary system according to the structures of the solid phase of the patient's urine. …”
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  20. 1680

    The structure and predictive value of intrinsic capacity in a longitudinal study of ageing by John R Beard, A T Jotheeswaran, Matteo Cesari, Islene Araujo de Carvalho

    Published 2019-11-01
    “…Longitudinal mediation and moderation analysis of incident care dependence.Settings Community, United Kingdom.Participants 2560 eligible participants aged over 60 years.Main outcome measures Activities of daily living (ADL) and instrumental activities of daily living (IADL).Results One general factor (intrinsic capacity) and five subfactors emerged: locomotor, cognitive; psychological; sensory; and ‘vitality’. This structure is consistent with biological theory and the model had a good fit for the data (χ2=71.2 (df=39)). …”
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