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  1. 2121

    Implementation of mineralogy in COSMO5.05–MUSCAT and model dust loading comparison with measurements by Gómez Maqueo Anaya Sofía, Althausen Dietrich, Faust Matthias, Baars Holger, Heinold Bernd, Hofer Julian, Tegen Ina, Ansmann Albert, Engelmann Ronny, Skupin Annett, Heese Birgit, Schepanski Kerstin

    Published 2024-01-01
    “…Results show simultaneously good agreements and suggest that discrepancies could be explained due to the methods used for calculating mineral dust in the atmosphere not considering compositional differences.…”
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  2. 2122

    Association between dietary antioxidant intake and overweight/obesity risk among children and adolescents: a cross-sectional analysis from NHANES 2011–2016 by Jinwen Chen, Changhong Shi

    Published 2025-05-01
    “…To account for total energy intake, two widely recognized adjustment methods were used: the standard regression model and the nutrient density model. …”
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  3. 2123
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    The GRAAL2 glass alteration model: initial qualification on a simple chemical system by Maxime Delcroix, Pierre Frugier, Emma Geiger, Catherine Noiriel

    Published 2025-04-01
    “…Solubility and apparent diffusion of the gel end members are optimized thanks to geochemical equilibrium calculations and Newton-Raphson and bisection methods, respectively. Modelling reliability is analyzed through the root mean square deviation of the model to the experimental data. …”
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  5. 2125
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    The Evaluation of Climate Change Competitiveness via DEA Models and Shannon Entropy: EU Regions by Agnieszka Karman, Jarosław Banaś

    Published 2024-08-01
    “…The proposed model’s common weight structure demonstrates more discriminative power compared to the weights obtained through pure DEA or DEA-like methods. …”
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  7. 2127

    Interpretable machine learning model of effective mass in perovskite oxides with cross-scale features by Changjiao Li, Zhengtao Huang, Hua Hao, Zhonghui Shen, Guanghui Zhao, Ben Xu, Hanxing Liu

    Published 2025-01-01
    “…This paper introduces distortion modes of oxygen octahedrons as cross-scale structural features to bridge chemical compositions and material properties. Combining model-agnostic interpretation methods, we are able to achieve interpretability even using simple machine learning schemes and develop a predictive model of effective mass for a widely used material type, namely perovskite oxides. …”
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  8. 2128

    How Can Spatially Distributed Uncertainties Be Included in FEA and in Parameter Estimation for Model Updating? by M.W. Zehn, A. Saitov

    Published 2003-01-01
    “…The parameter estimation methods used in updating algorithms for FE-models, depend on the choice of a priori to be determined weighting matrices. …”
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  9. 2129

    High entropy alloy property predictions using a transformer-based language model by Spyros Kamnis, Konstantinos Delibasis

    Published 2025-04-01
    “…Abstract This study introduces a language transformer-based machine learning model to predict key mechanical properties of high-entropy alloys (HEAs), addressing the challenges due to their complex, multi-principal element compositions and limited experimental data. …”
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  10. 2130

    Study on the Single Scattering of Elastic Waves by a Cylindrical Fiber with a Partially Imperfect Bonding Using the Collocation Point Method by Jun Zhang, Longhai Zeng, Chuanlin Hu, Wensheng Yan

    Published 2018-01-01
    “…The single scattering of P- and SV-waves by a cylindrical fiber with a partially imperfect bonding to the surrounding matrix is investigated, which benefits the characterization of the behavior of elastic waves in composite materials. The imperfect interface is modelled by the spring model. …”
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  11. 2131

    THE COMPATIBILITY OF MODEL FOR LOW SHEAR FLOW ANALYSIS IN DEVELOPING PLASTICIZED HTPB-BASED BINDER by Afni Restasari, Luthfia Hajar Abdillah, Retno Ardianingsih, Bagus Wicaksono, Rika Suwana Budi

    Published 2020-12-01
    “…In developing flow behavior of plasticized prepolymer as liquid content of composite solid propellant, zero shear viscosity (ZSV) is a critical parameter that Goh-Wan equation is developed to model it recently [1]. …”
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  12. 2132

    Performance of functionalized CNT membranes for desalination - Parametric effects and Artificial neural network modelling by Deepa Durairaj, Santhosh Paramasivam, Natarajan Rajamohan, Manivasagan Rajasimman, Ragothaman M. Yennamalli, Roberto Baccoli, Gianluca Gatto

    Published 2025-05-01
    “…Desalination, decisive for mitigating global water scarcity, faces challenges due to the high energy consumption and operational costs associated with traditional methods like reverse osmosis and distillation. The present research investigated the efficiency of eight combinations of fabricated single-walled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) composite membranes with -OH, -COOH, and -NH2 functionalities for the removal of salt under varying flow rates (100, 150, 200, and 250 ml/h) and influent (2500, 3000, 4000, 5000 mg/l) rates by membrane filtration. …”
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    A Method for Restoring Power Supply to Distribution Networks Considering the Coordination of Multiple Resources Under Typhoon-Induced Waterlogging Disasters by Hao Dai, Dafu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Longlong Shang, Ziyu Liu, Ziwen Xu, Jiaju Shi, Chen Chen

    Published 2025-03-01
    “…Firstly, a damage model for distribution network nodes and lines under wind–flood composite disasters was established to address the impact of typhoons and waterlogging disasters on the distribution network. …”
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    Based on Fast Non-Singular Dynamic Terminal Sliding Mode Control for Four-Wheel Independently Driven Electric Vehicle Direct Yaw Moment Control by Zhengyong Tao, Zhongzhi Tong, Mingming Wu, Hui Wu, Min Qu, Deqiang Xie

    Published 2025-01-01
    “…Initially, 7-degree-of-freedom (7-DOF) and 2-degree-of-freedom (2-DOF) vehicle dynamic models are established, and a composite stability analysis method is developed by integrating yaw rate limit boundaries with dynamic adaptive dual-line boundaries to formulate stability criteria under extreme conditions. …”
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  20. 2140

    A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine by Yuqing Fan, Debao Yuan, Liuya Zhang, Maochen Zhao, Renxu Yang

    Published 2025-03-01
    “…The proposed LR method initially generated rice distribution maps based on phenology, and 300 sample points were selected for meta-identification of rice images via an enhanced pixel-based phenological feature composite method (Eppf-CM) utilizing high-resolution imagery. …”
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