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Showing 541 - 560 results of 2,280 for search '(( variable function (coefficient. OR coefficiency.) ) OR ( variables function efficient. ))*', query time: 0.20s Refine Results
  1. 541

    Two-dimensional Elasticity Solutions For Analyzing Free Vibration Of Functionally Graded Porous Beams by Quoc-Cuong Le, Ba-Duy Nguyen

    Published 2025-04-01
    “…This study investigates the impact of the gradation exponents (p) in the z-direction, the slenderness ratio (L/h), the distribution of porosity, the porosity coefficient (e), and various boundary conditions on the natural frequencies. …”
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    Article
  2. 542

    Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions by S. Sowmya, M. Saimurugan, Naveen Venkatesh

    Published 2025-01-01
    “…Rotational machines under variable speed conditions often confront challenges to diagnose various component faults as an existing problem with less exploration of sound signals in this subject area. …”
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    Article
  3. 543

    Investigation of influence of objective function valley ratio on the determination error of its minimum coordinates by A. V. Smirnov

    Published 2023-12-01
    “…A special test function was used in numerical experiments to model valleys with variables across wide ranges of parameters. …”
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  4. 544

    Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China. by Ya-Nan Ma, Jing Wang, Guang-Hui Dong, Miao-Miao Liu, Da Wang, Yu-Qin Liu, Yang Zhao, Wan-Hui Ren, Yungling Leo Lee, Ya-Dong Zhao, Qin-Cheng He

    Published 2013-01-01
    “…Predictive equations used multiple linear regression techniques with three predictor variables: height, age and weight. Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). …”
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  5. 545
  6. 546

    Central Pulse Wave Velocity and Augmentation Index Are Repeatable and Reproducible Measures of Arterial Function by Sophie L. Russell, Mushidur Rahman, Charles J. Steward, Amy E. Harwood, Gordon McGregor, Prithwish Banerjee, Nduka C. Okwose, Djordje G. Jakovljevic

    Published 2024-11-01
    “…Conclusion PWV and Alx demonstrate excellent repeatability and good reproducibility. Considering these variables are noninvasive and easy‐to‐measure, arterial function assessment may have a role in routine clinical practice to facilitate risk stratification in cardiovascular diseases.…”
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    Article
  7. 547
  8. 548

    Rapid Classification of Milk Using a Cost-Effective Near Infrared Spectroscopy Device and Variable Cluster–Support Vector Machine (VC-SVM) Hybrid Models by Eleonora Buoio, Valentina Colombo, Elena Ighina, Francesco Tangorra

    Published 2024-10-01
    “…This approach provides the dairy industry with a practical, simple and efficient solution to quickly identify skimmed, semi-skimmed and whole milk and detect potential fraud.…”
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  9. 549

    A New Approach to Topology Optimization with Genetic Algorithm and Parameterization Level Set Function by Igor Pehnec, Damir Sedlar, Ivo Marinic-Kragic, Damir Vučina

    Published 2025-06-01
    “…Using the B-spline interpolation function, the number of variables describing the level set function was decreased, enabling the application of evolutionary methods (genetic algorithms) in the topology optimization process. …”
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  10. 550
  11. 551

    Numerical-based theoretical investigation on the thermal efficiency of viscoplastic fluid suspended with ternary nanoparticles using the finite element approach by M. Nawaz, Abdelatif Salmi, Sayer Obaid Alharbi, A.S. Shflot

    Published 2025-09-01
    “…The study uses a computational method based on the finite element method (FEM) to examine the thermal efficiency of viscoplastic fluids containing ternary, di-, and mono-nanoparticles. …”
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    Article
  12. 552

    Interpretable Active Learning Identifies Iron‐Doped Carbon Dots With High Photothermal Conversion Efficiency for Antitumor Synergistic Therapy by Tianliang Li, Bin Cao, Yitong Wang, Lixing Lin, Lifei Chen, Tianhao Su, Haicheng Song, Yuze Ren, Longhan Zhang, Yingying Chen, Zhenzhen Li, Lingyan Feng, Tong‐yi Zhang

    Published 2025-07-01
    “…The SHAP‐EV, with an R2 of 0.960 correlated to feature's joint SHAP, is integrated into the AL utility functions to enhance evaluation efficiency during optimization. …”
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    Article
  13. 553

    Employing Novel Ranking Function for Solving Fully Fuzzy Fractional Linear Programming Problems by Israa H. Hasan, Iden H. Al Kanani

    Published 2024-07-01
    “…This paper proposes a novel ranking function technique with variables of type decagonal fuzzy numbers for solving fully fuzzy fractional linear programming (FFFLP) problems. …”
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  14. 554

    Examining the Impact of Variations in Executive Functions on Students’ Problem-Solving Behaviors by Tongxi Liu

    Published 2024-01-01
    “…Although learning variability is increasingly acknowledged, empirical research exploring the direct relationship between executive functions and problem-solving strategies remains limited. …”
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  15. 555

    Functional improvement of natural Saccharomyces cerevisiae yeast strains by cell surface molecular engineering by Sara Granuzzo, Monica Rossetto, Lucio Zennaro, Francesca Righetto, Paolo Antoniali, Raffaele Lopreiato

    Published 2025-02-01
    “…Abstract Background Cellular boundaries of microorganisms can be modified by the expression in the cell wall of specific proteins endowed with relevant properties, improving their functional performance. So far, the surface display (SD) technique had been widely employed in the yeast Saccharomyces cerevisiae, but it was limited to few laboratory strains and never explored in sauvage strains, i.e., isolated from natural environment, which are featured by higher levels of genetic variability, leading to peculiar phenotypic traits of possible advantage in biotechnology. …”
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  16. 556

    P-GELU: A Novel Activation Function to Optimize Whisper for Darija Speech Translation by Maria Labied, Abdessamad Belangour, Mouad Banane

    Published 2025-01-01
    “…Activation functions play a critical role in optimizing deep learning models, directly influencing gradient flow, convergence stability, and overall translation accuracy. …”
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  17. 557

    Identification and functional analysis of novel precursor genes in cyclic peptide biosynthesis in Pseudostellaria heterophylla by Jiao Xu, Wei Zheng, Xiaohong Ou, Hua He, Changgui Yang, Lanping Guo, Chenghong Xiao, Weike Jiang, Guoping Shu, Tao Zhou

    Published 2025-08-01
    “…The core peptide regions showed high variability, while the leader and follower regions were relatively conserved, with a few nucleotide mutations. …”
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  18. 558

    The Effect of Temperature Dependency on the Thermo-Electro-Elastic Analysis of Functionally Graded Piezoelectric Spherical Shell by Mohammad Arefi, Masoud Takhayor Ardestani

    Published 2019-04-01
    “…Substitution of temperature distribution into constitutive relations and then into equilibrium and Maxwell equations would give final governing equations having variable thickness. The variable coefficient governing equations are solved using the division method. …”
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  19. 559

    A topological analysis of p(x)-harmonic functionals in one-dimensional nonlocal elliptic equations by Goodrich Christopher S.

    Published 2025-04-01
    “…We consider a class of one-dimensional elliptic equations possessing a p(x)-harmonic functional as a nonlocal coefficient. As part of our results we treat the model case−M∫01u′(x)p(x)dxu′′(t)=λft,u(t), 0<t<1 $${-}M\left(\underset{0{}}{\overset{1}{\int }}{\left\vert {u}^{\prime }(x)\right\vert }^{p(x)}\ \mathrm{d}x\right){u}^{\prime \prime }(t)=\lambda f\left(t,u(t)\right)\text{,\hspace{0.17em}}0< t< 1$$ subject to the boundary datau(0)=0=u(1). …”
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  20. 560

    Research on cooperative control strategy for high efficiency and energy saving in virtually coupled train sets based on two-layer optimization by JIANG Sidun, FENG Jianghua, ZHANG Zhengfang, SHI Ke, LUO Qinyang

    Published 2025-01-01
    “…The upper layer focuses on efficiency optimization, establishing an objective function aimed at facilitating efficient departures and stops, and employing a multi-objective genetic algorithm to generate key information for decision-making. …”
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