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  1. 461

    An Intelligent Deep Learning Model for CO2 Adsorption Prediction by Hanan Ahmed Hosni Mahmoud, Nada Ali Hakami, Alaaeldin M. Hafez

    Published 2022-01-01
    “…A feature importance metric was proposed using feature permutation, and the effect of each feature on the target output variable was investigated. The important extracted features from the three employed model were fused and used as the fusion feature set in our proposed model: fusion matrix deep learning model (FMDL). …”
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  2. 462

    Improved active vibration control of a cantilever beam using MFC actuators with Hammerstein model-based hysteresis modeling and VSS-FxLMS control algorithm by Hafiz Muhammad Umar, Lei Zhang, Ruichen Yu, Zhiyuan Gao

    Published 2025-06-01
    “…This study aims to enhance active vibration control in a cantilever beam using macro fiber composite (MFC) actuators. To address the challenge of accurately modeling the complex hysteresis behavior of MFC actuators, an advanced hysteresis modeling technique is employed, integrating a non-symmetric Bouc–Wen model with an Auto-Regressive model with eXogenous inputs (ARX). …”
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  3. 463

    Non-Isothermal Process of Liquid Transfer Molding: Transient 3D Simulations of Fluid Flow Through a Porous Preform Including a Sink Term by João V. N. Sousa, João M. P. Q. Delgado, Ricardo S. Gomez, Hortência L. F. Magalhães, Felipe S. Lima, Glauco R. F. Brito, Railson M. N. Alves, Fernando F. Vieira, Márcia R. Luiz, Ivonete B. Santos, Stephane K. B. M. Silva, Antonio G. B. Lima

    Published 2025-07-01
    “…The proposed mathematical modeling considers the radial, three-dimensional, and transient flow, variable injection pressure, and fluid viscosity, including the effect of liquid fluid absorption by the reinforcement (fiber). …”
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  4. 464

    A Review of Sensors for the Monitoring, Modeling, and Control of Commercial Wine Fermentations by Roger Boulton, James Nelson, André Knoesen

    Published 2025-06-01
    “…Large-scale commercial wine fermentation requires the monitoring and control of multiple variables to achieve optimal results. Challenges in measurement arise from turbidity, stratification in large unmixed volumes, the presence of grape skins and solids during red wine fermentations, the small changes in variables that necessitate precise sensors, and the unique composition of each juice, which makes every fermentation distinct. …”
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  5. 465

    Classificação da composição iônica da água de irrigação usando regressão linear múltipla Classification of the ionic composition of the irrigation water using multiple linear regre... by Celsemy E. Maia, Elís R.C. de Morais, Maurício de Oliveira

    Published 2001-04-01
    “…A Stepwise Regression Analysis model was tested, using electrical conductivity as the dependent variable and analyzed ions calcium, sodium, potassium, carbonate, bicarbonate and chlorides as the independent variables in all tested models. …”
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  6. 466
  7. 467

    Lasso Model-Based Optimization of CNC/CNF/rGO Nanocomposites by Ghazaleh Ramezani, Ixchel Ocampo Silva, Ion Stiharu, Theo G. M. van de Ven, Vahe Nerguizian

    Published 2025-03-01
    “…A LASSO model was also implemented to analyze variable impacts on material properties. …”
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  8. 468
  9. 469

    Modeling, Simulation, and Kinetic Studies of Solvent-Free Biosynthesis of Benzyl Acetate by Vijay Kumar Garlapati, Annapurna Kumari, Paramita Mahapatra, Rintu Banerjee

    Published 2013-01-01
    “…A nonlinear response surface model has been successfully developed based on central composite design with transesterification variables, namely, molarity of alcohol, reaction time, temperature, and immobilized lipase amount as input variables and molar conversion (%) as an output variable. …”
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  10. 470

    La déforestation au prisme des terroirs villageois en situation de mosaïque forêt-savane, République Démocratique du Congo by Christophe Demichelis, Johan Oszwald, Clélia Gasquet-Blanchard, Victor Narat, Jean-Christophe Bokika, Tamara Giles-Vernick

    Published 2022-09-01
    “…This inter-village variability made it possible to highlight a village typology directly linked to the landscape composition of the terroirs, and thus to highlight different socio-ecological situations within a small area. …”
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  11. 471

    PDX models recapitulate the genetic and epigenetic landscape of pediatric T‐cell leukemia by Paulina Richter‐Pechańska, Joachim B Kunz, Beat Bornhauser, Caroline von Knebel Doeberitz, Tobias Rausch, Büşra Erarslan‐Uysal, Yassen Assenov, Viktoras Frismantas, Blerim Marovca, Sebastian M Waszak, Martin Zimmermann, Julia Seemann, Margit Happich, Martin Stanulla, Martin Schrappe, Gunnar Cario, Gabriele Escherich, Kseniya Bakharevich, Renate Kirschner‐Schwabe, Cornelia Eckert, Martina U Muckenthaler, Jan O Korbel, Jean‐Pierre Bourquin, Andreas E Kulozik

    Published 2018-11-01
    “…The longitudinal approach of this study allowed an observation that samples collected from patients who developed a type 1 relapse (clonal mutations maintained at relapse) preserved their genomic composition; whereas in patients who developed a type 2 relapse (subset of clonal mutations lost at relapse), the preservation of the leukemia's composition was more variable. …”
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  12. 472
  13. 473

    Examination of Strength Modeling Reliability of Physical Tests on Structural Concrete Columns by Sher Ali Mirza

    Published 2011-01-01
    “…The columns were subjected to short-term loads producing pure axial force, axial force combined with symmetrical single-curvature bending, or pure bending. Major variables included the concrete strength, the end eccentricity ratio, the slenderness ratio, the longitudinal reinforcing steel index for reinforced concrete or the structural steel index for composite columns, and the transverse reinforcement (tie/hoop) volumetric ratio. …”
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  14. 474

    The Weight Minimization of a UAV Wing Component Through Structural Optimization by Andreas Psarros, Georgios Savaidis

    Published 2025-03-01
    “…This study focuses on the structural optimization of a composite wing element for an unmanned aerial vehicle. …”
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  15. 475

    Minimal mesoscale model for protein-mediated vesiculation in clathrin-dependent endocytosis. by Neeraj J Agrawal, Jonathan Nukpezah, Ravi Radhakrishnan

    Published 2010-09-01
    “…Based on the observed strong dependence of the vesicle diameter on the bending rigidity, we suggest that the variability in bending stiffness due to variations in membrane composition with cell type can explain the experimentally observed variability on the size of clathrin-coated vesicles, which typically range 50-100 nm. …”
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  16. 476

    Significant Serpents: Predictive Modelling of Bioclimatic Venom Variation in Russell's Viper. by Navaneel Sarangi, R R Senji Laxme, Kartik Sunagar

    Published 2025-04-01
    “…Our models effectively captured regional differences in venom composition and linked climatic conditions with functional variations.…”
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  17. 477
  18. 478

    Modeling Trophic Cascades to Identify Key Mammalian Species for Ecosystem Stability by Idung Risdiyanto, Yanto Santosa, Nyoto Santoso, Arzyana Sunkar

    Published 2024-11-01
    “…Known as KVT version 1.0, the model explains the role of each characteristic variable of mammalian species, predicts population growth, elucidates species interactions at trophic levels, and assesses species-specific dietary compositions, including food requirements, reproduction, and activity. …”
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