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  1. 121
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    Generalized Derangetropy Functionals for Modeling Cyclical Information Flow by Masoud Ataei, Xiaogang Wang

    Published 2025-06-01
    “…This paper introduces a functional framework for modeling cyclical and feedback-driven information flow using a generalized family of derangetropy operators. …”
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  3. 123
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    Control algorithm for an elastic-viscoplastic model to study processes of shock interaction of bodies by V. L. Lapshin, Е. V. Zenkov

    Published 2021-09-01
    “…When calculating deformations, the assumption is made that elastic and plastic deformations occur simultaneously from the very onset of the impact. The model functioning method is considered in detail, the algorithm of the model operation is developed, the logic of its functioning is described in detail.Results. …”
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  5. 125

    Quantum chemical study on the interaction of arginine with silica surface by A. A. Kravchenko, E. M. Demianenko, A. G. Grebenyuk, M. I. Terets, M. G. Portna, V. V. Lobanov

    Published 2021-11-01
    “… The structure and energy characteristics of structures formed during arginine adsorption on silica surface from aqueous solution were studied by the density functional theory (B3LYP) method using a valence-split basis set         6-31++G(d,p) within the continuous solvent model (PCM) and supermolecular approximation. …”
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    Dynamical Models of Interactions between Herds Forage and Water Resources in Sahelian Region by Jean Jules Tewa, Alassane Bah, Suares Clovis Oukouomi Noutchie

    Published 2014-01-01
    “…Our goal in this paper is to formalize two dynamical models for interactions between a herd of domesticate animals, forage resources, and water resources inside a given Sahelian area, in order to confirm, explain, and predict by mathematical models some observations about pastoralism in Sahelian region. …”
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  8. 128

    Combined impact of fear and Allee effect in predator-prey interaction models on their growth by Kawkab Al Amri, Qamar J. A Khan, David Greenhalgh

    Published 2024-10-01
    “…We considered predator-prey models which incorporated both an Allee effect and a new fear factor effect together, and where the predator predated the prey with a Holling type I functional response. …”
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  9. 129

    Cortical Adaptation Dynamics in Human-Exoskeleton Interaction Using Multi-Model AMICA by Jasim Naeem, Seongmi Song, Michael Nonte, Courtney A. Haynes, J. Cortney Bradford

    Published 2025-01-01
    “…This study aimed to investigate cortical dynamics during human-exoskeleton interactions using multi-model Adaptive Mixture ICA (AMICA), hypothesizing that the approach would separate EEG data into distinct phases corresponding to adaptation levels and reveal changes in brain area engagement over time. …”
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  10. 130

    Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome by András Ecker, Daniela Egas Santander, Marwan Abdellah, Jorge Blanco Alonso, Sirio Bolaños-Puchet, Giuseppe Chindemi, Dhuruva Priyan Gowri Mariyappan, James B Isbister, James King, Pramod Kumbhar, Ioannis Magkanaris, Eilif B Muller, Michael W Reimann

    Published 2025-07-01
    “…To rise to this challenge, we endowed an existing large-scale cortical network model, incorporating data-constrained dendritic processing and multi-synaptic connections, with a calcium-based model of functional plasticity that captures the diversity of excitatory connections extrapolated to in vivo-like conditions. …”
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    Precipitation–fire functional interactions control biomass stocks and carbon exchanges across the world's largest savanna by M. Williams, M. Williams, D. T. Milodowski, D. T. Milodowski, T. L. Smallman, T. L. Smallman, K. G. Dexter, G. C. Hegerl, I. M. McNicol, M. O'Sullivan, C. M. Roesch, C. M. Ryan, C. M. Ryan, S. Sitch, A. Valade

    Published 2025-03-01
    “…Here we address three issues that hinder regional efforts to address international climate agreements: producing a state-of-the-art C budget of the SAW region; diagnosing C cycle functional variation and interactions with climate and fire across SAW; and evaluating SAW C cycle representation in land surface models (LSMs). …”
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  13. 133

    Interaction with IGF1 overrides ANXA2-mediated anti-inflammatory functions of IGFBP5 in vivo by Yan Fan, Yi-Jin Wu, Yi-Jin Wu, Kai Guo, Xia-Qing Zhou, Abulizi Abulaiti, Opeyemi Joshua Olatunji, Cong-Lan Ji, Jian Zuo, Jian Zuo

    Published 2025-01-01
    “…By binding to IGF1, IGFBP5 prevented its interaction with IGF1R. An IGF1R inhibitor picropodophyllin antagonized functions of IGF1/IGF1R too, but didn’t reinforce the effects of IGFBP5.ConclusionIGFBP5 eases inflammation by interacting with ANXA2, an activator of NF-κB; as an antagonist of IGF1/IGF1R, IGFBP5 may disrupt immune homeostasis in vivo, due to impairment of the latter’s anti-inflammatory functions; excessive IGFBP from adipocytes would be a pathogenic factor in certain diseases.…”
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  14. 134

    Sex differences in ventricular-vascular interactions associated with aerobic capacity by Barbara N. Morrison, Peter M. Mittermaier, Garth R. Lester, Michael E. Bodner, Anita T. Cote

    Published 2025-01-01
    “…Abstract Background Aerobic capacity measured by maximal oxygen uptake (VO2max) is related to functional capacity and is a strong independent predictor of all-cause and disease-specific mortality. …”
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    An interactive information based DCNN-BiLSTM model with dual attention mechanism for facial expression recognition by Samanthisvaran Jayaraman, Anand Mahendran

    Published 2025-07-01
    “…Piecewise Cubic Polynomial and linear activation function was used to speed up Interactive Learning Information (ILI). …”
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  20. 140

    Depression severity and chronic disease risk: interactive effects on cognitive function and life satisfaction in Chinese middle-aged and older adults by Bowen Li, Siyu Guan, Chuan Huang, Chen Li, Yiran Du, Chunxiao Wan

    Published 2025-06-01
    “…Depression was measured with the CES-D-10 scale, and participants were grouped based on symptom severity. Logistic regression models were used to examine disease risks, while linear regression models assessed the interactive effects on cognitive outcomes.ResultsLogistic regression models showed that higher levels of depression were significantly associated with increased risk of heart disease, while showing more complex relationships with stroke and mental illness risks. …”
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