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  1. 901

    SPECIFIC FEATURES IN THE EXPRESSION OF INTRASPECIES VARIABILITY OF PRUNUS PUMILA FRUITS IN CHELYABINSK PROVINCE IN THE PROCESS OF INTRODUCTION by M. S. Lezin, V. S. Simagin, A. V. Lokteva

    Published 2019-10-01
    “…The stone weight also had medium variability, while the fruit weight demonstrated high variability (V = 21–30%). …”
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    Article
  2. 902

    On the need of individually optimizing temporal interference stimulation of human brains due to inter-individual variability by Tapasi Brahma, Alexander Guillen, Jeffrey Moreno, Abhishek Datta, Yu Huang

    Published 2025-09-01
    “…However, those modeling studies were only performed on an averaged head (MNI152 template) and three individual heads without exploring inter-individual variability. Existing TI works in the literature mostly utilize a common (possibly optimized) montage of two pairs of electrodes on different individual heads without considering inter-individual variability. …”
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  3. 903
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  6. 906

    Present and future interannual variability in wildfire occurrence: a large ensemble application to the United States by Theodore R. Keeping, Theodore R. Keeping, Boya Zhou, Wenjia Cai, Theodore G. Shepherd, I. Colin Prentice, I. Colin Prentice, Karin van der Wiel, Sandy P. Harrison, Sandy P. Harrison

    Published 2025-04-01
    “…The principal drivers of variability in simulated fire years are related either to interannual variability in fuel production or atmospheric moisture controls on fuel drying, but there are distinct geographic patterns in which each of these is the dominant control. …”
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  7. 907

    Investigating the patterns of renal function variability in early-stage chronic kidney disease by cluster analysis by Arisa Kobayashi, Tsuyoshi Ohnishi, Tadahisa Okuda, Keita Hirano, Tatsuyoshi Ikenoue, Takashi Yokoo, Shingo Fukuma

    Published 2025-08-01
    “…This cluster, comprising 4.6% of patients with early-stage CKD, demonstrated a more pronounced decline in eGFR over time. Factors such as younger age, proteinuria, antihypertensive drug use, and hyperglycemia were associated with the high variability cluster. …”
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  8. 908

    Unraveling the threshold and interaction effects of environmental variables on soil organic carbon mapping in plateau watershed by Chi Zhang, Yiyun Chen, Yujiao Wei, Peiheng Yu, Yongsheng Hong, Yazhen Hu, Jiaxue Wang, Zhou Shi

    Published 2024-10-01
    “…In order to enhance the accuracy of SOC prediction, we employed the landscape metrics as environmental variables, thereby facilitating a more comprehensive description of the landscape. …”
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  9. 909

    Plethysmographic variability index as a predictor of propofol-induced hypotension: A prospective observational study by Joseph N Paul, Rashmi Rani, Nayanthara Joachim, Apoorwa N Kothari

    Published 2025-01-01
    “…Conclusion: Baseline PVI and PI can serve as screening tools and not diagnostic tools for predicting hypotension. Baseline PVI ≥19 is more accurate to predict post-induction hypotension than the values mentioned in previous studies.…”
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  10. 910

    Effect of Foreign Direct Investment on Affordable Housing in Kenya: The Role of Inflation as a Moderating Variable by Chamwoma Katu Aggrey, Ngala Consolata, Umulkher Ali

    Published 2025-06-01
    “…After including inflation as a moderating variable, the value reduced to 0. 684135. However, it is mixed with the result that, although the two sets of variables are in the long-run and short-run stationary relationship, no long-run cointegration was identified between the variables. …”
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  11. 911
  12. 912

    Effect of Foreign Direct Investment on Affordable Housing in Kenya: The Role of Inflation as a Moderating Variable by Chamwoma Katu Aggrey, Ngala Consolata, Umulkher Ali

    Published 2025-06-01
    “…After including inflation as a moderating variable, the value reduced to 0. 684135. However, it is mixed with the result that, although the two sets of variables are in the long-run and short-run stationary relationship, no long-run cointegration was identified between the variables. …”
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    Article
  13. 913
  14. 914

    Highly Variable Quasar Candidates Selected from 4XMM-DR13 with Machine Learning by Heng Wang, Yanli Ai, Yanxia Zhang, Yuming Fu, Wenfeng Wen, Liming Dou, Xue-Bing Wu, Xiangru Li, Zhiying Huo

    Published 2025-01-01
    “…We present a sample of 12 quasar candidates with highly variable soft X-ray emission, selected from the fourth XMM-Newton Serendipitous Source Catalog (4XMM-DR13), using random forest (RF). …”
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  15. 915

    Joint Modeling of Quasar Variability and Accretion Disk Reprocessing Using Latent Stochastic Differential Equations by Joshua Fagin, James Hung-Hsu Chan, Henry Best, Matthew O’Dowd, K. E. Saavik Ford, Matthew J. Graham, Ji Won Park, V. Ashley Villar

    Published 2025-01-01
    “…Their stochastic brightness variability depends on the physical properties of the accretion disk and black hole. …”
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  16. 916

    Expansion of CD57+ CD8 T cells in common variable immunodeficiency with hepatopathy and CMV infection by Patrick Bez, Patrick Bez, Patrick Bez, Enrico Santangeli, Enrico Santangeli, Sigune Goldacker, Sigune Goldacker, Ulrich Salzer, Ulrich Salzer, Klaus Warnatz, Klaus Warnatz

    Published 2025-05-01
    “…BackgroundCommon variable immunodeficiency (CVID) is associated with an altered immune homeostasis affecting many T-cell subpopulations, including an increased proportion of CD57+ CD8 T lymphocytes. …”
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  17. 917

    Visit-to-visit ultrafiltration volume variability predicts all-cause mortality in patients receiving hemodialysis by Quanchao Zhang, Ning Wang, Ling Nie, Caibao Lu, Hongwei Chen, Wenchang He, Moqi Li, Yiqin Wang, Jinghong Zhao, Jiachuan Xiong

    Published 2023-12-01
    “…Moreover, subgroup analyses showed that the predictive performance of UVCV was more accurate among older patients, males and patients with comorbidities.Conclusions Visit-to-visit UV variability, especially UVCV, is a helpful indicator for predicting all-cause mortality in patients receiving HD, especially for older patients, males and those with comorbidities.…”
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  18. 918

    CCN estimations at a high-altitude remote site: role of organic aerosol variability and hygroscopicity by F. Rejano, F. Rejano, A. Casans, A. Casans, M. Via, J. A. Casquero-Vera, J. A. Casquero-Vera, S. Castillo, S. Castillo, H. Lyamani, A. Cazorla, A. Cazorla, E. Andrews, E. Andrews, D. Pérez-Ramírez, D. Pérez-Ramírez, A. Alastuey, F. J. Gómez-Moreno, L. Alados-Arboledas, L. Alados-Arboledas, F. J. Olmo, F. J. Olmo, G. Titos, G. Titos

    Published 2024-12-01
    “…Three OA factors were identified from the PMF analysis: hydrocarbon-like OA (HOA), less-oxidized oxygenated OA (LO-OOA), and more-oxidized oxygenated OA (MO-OOA), with average contributions of 5 %, 36 %, and 59 % of the total OA, respectively. …”
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  19. 919

    Predicción de la lealtad de los usuarios de centros deportivos privados. Variables de gestión y bienestar subjetivo (Prediction of the loyalty of costumers of private sports center... by Fernando García Pascual, Mario Alguacil, Núria Molina García

    Published 2020-07-01
    “…After knowing which variables influence loyalty prediction, providing sports managers with information about which variables to reinforce will help to obtain more loyal costumers and consequently faithful to the service. …”
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  20. 920

    Unravelling Students’ Attitudes Toward Lifelong Exercise by Efstathia Evangelou, Nikolaos Digelidis, Charalampos Krommidas

    Published 2024-12-01
    “…According to the findings of this study, personal variables eliminated the significance of social variables, with task orientation having the highest beta (.33). …”
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