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  1. 701
  2. 702

    Enhancing water depth inversion accuracy via SAR and variable window sliding segmentation by Meng Zhang, Meng Zhang, Chao Qi, Chao Qi, Fanlin Yang, Fanlin Yang, Ruifu Wang, Ruifu Wang, Saied Pirasteh, Saied Pirasteh

    Published 2025-02-01
    “…To address these issues, we propose a novel SAR water depth inversion method based on variable window sliding segmentation. This method optimizes nearshore image utilization by dynamically adjusting the pixel size and preventing coastline encroachment, leading to more precise swell wavelength measurements. …”
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    Article
  3. 703

    Explainable artificial intelligence (XAI) for interpreting predictive models and key variables in flood susceptibility by Bahram Choubin, Abolfazl Jaafari, Jalal Henareh, Omid Karimi, Farzaneh Sajedi Hosseini

    Published 2025-09-01
    “…By integrating XAI techniques, this study enhanced flood prediction interpretability, providing clearer insights into variable interactions and a more transparent approach to flood susceptibility modeling.…”
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  4. 704

    The Career Adaptability of Psychology Students: The roles of Demographic Variables, Personality, and Positive Psychological Capital by Selma Arıkan

    Published 2022-08-01
    “…Future studies are recommended to include demographic variables related to middle and high school education and family-related variables such as parents’ personalities, family’s career orientations, and values attributed to children in order to better understand the roles demographic and family-related variables have on career construction. …”
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    Article
  5. 705
  6. 706

    Quantitative bias analysis for mismeasured variables in health research: a review of software tools by Codie J. C. Wood, Kate Tilling, Jonathan W. Bartlett, Rachael A. Hughes

    Published 2025-08-01
    “…By doing so, the uptake of QBA techniques in epidemiology can be improved, leading to more accurate and reliable research findings.…”
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    Article
  7. 707

    Optimizing Cold Food Supply Chains for Enhanced Food Availability Under Climate Variability by David Hernandez-Cuellar, Krystel K. Castillo-Villar, Fernando Rey Castillo-Villar

    Published 2025-08-01
    “…Conversely, scenarios with reduced rainfall and lower yields require sourcing from more distant locations, thereby increasing transportation costs. …”
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    Article
  8. 708
  9. 709

    Coefficient-Shuffled Variable Block Compressed Sensing for Medical Image Compression in Telemedicine Systems by R Monika, Samiappan Dhanalakshmi, Narayanamoorthi Rajamanickam, Amr Yousef, Roobaea Alroobaea

    Published 2024-10-01
    “…This challenge can be surmounted by adopting a variable BCS approach that selectively samples from diverse regions within an image. …”
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  10. 710

    Heart rate variability dynamics in obese men following the results of the health improvement programme by T. A. Mityukova, A. A. Basalai, S. B. Kokhan, O. Y. Poluliakh, M. S. Kastsiuchenka, M. A. Darenskaya, L. V. Rychkova, S. I. Kolesnikov, N. V. Semenova, L. I. Kolesnikova

    Published 2025-05-01
    “…Based on the results of the study, it has been shown that a reduction in body weight of 4.5 kg or more in obese men leads to normalisation of most of the detected abnormalities in heart rate variability.Conclusion. …”
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  11. 711
  12. 712

    Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction by Tian Jing, Ru Chen, Chuanyu Liu, Chunhua Qiu, Chunhua Qiu, Cuicui Zhang, Mei Hong

    Published 2025-01-01
    “…This resulted in a spatially averaged correlation increase of over 0.5 for predicting the minor axis and anisotropy, along with a reduction of more than 0.15 in the Normalized Root Mean Square Error. …”
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  13. 713
  14. 714

    Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia by Mahboubeh Ahmadipour, Luigi M. Romito, Antonio E. Elia, Nico Golfré Andreasi, Roberto Eleopra, Alberto Mazzoni, Fabiana Colucci

    Published 2025-08-01
    “…Consequently, patients with more pronounced lower limb motor symptoms displayed a greater GPi‐DBS effect (p < 0.01). …”
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  15. 715

    Blood pressure variability and cardiovascular risk in the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER). by Rosalinde K E Poortvliet, Ian Ford, Suzanne M Lloyd, Naveed Sattar, Simon P Mooijaart, Anton J M de Craen, Rudi G J Westendorp, J Wouter Jukema, Christopher J Packard, Jacobijn Gussekloo, Wouter de Ruijter, David J Stott

    Published 2012-01-01
    “…Our observations suggest variability in diastolic blood pressure is more strongly associated with vascular or total mortality than is systolic pressure variability in older high-risk subjects.…”
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  16. 716

    An approach for fault-related monitoring variables selection based on dual-layer correlation networks by Zhenjie Zhang, Xinjiu Chen, Xiaobin Xu, Yi Li, Pingzhi Hou, Zehui Zhang, Haohao Guo

    Published 2024-12-01
    “…Findings – In the experiments of vertical elevator fault diagnosis, the critical fault-related monitoring variables selected by the DlCN-based approach is more effective than the traditional approaches. …”
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  17. 717

    Heart Rate Variability Analysis in Congestive Heart Failure: The Need for Standardized Assessment Protocols by Monika Míková, David Pospíšil, Jan Řehoř, Marek Malik

    Published 2025-05-01
    “…Heart rate variability (HRV) analysis is a noninvasive tool that allows cardiac autonomic control to be assessed. …”
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  18. 718

    Relationships of rapid weight regain variables in professional MMA fighters between 2018–2023 by Savannah Calleja, Peter Byers, Casandra Evans, Gabriel J. Sanders, Tobin Silver, Corey A. Peacock, Tony Ricci, Jose Antonio

    Published 2025-12-01
    “…No other significant relationships were observed (p ≥ 0.05).Conclusion There are significant correlations between anthropometric variables and RWRG in MMA fighters. The results indicate that taller fighters generally weigh more and compete in heavier weight classes. …”
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  19. 719

    Variability in knowledge retention of medical students: repeated and recently learned basic science topics by Gergely Csaba, István Szabó, József L. Környei, Mónika Kerényi, Zsuzsanna Füzesi, Árpád Csathó

    Published 2025-04-01
    “…Conclusions There was a substantial knowledge loss among medical students with high individual variability indicating the need to explore factors affecting long-term knowledge retention in real-life educational settings more deeply. …”
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  20. 720