Showing 61 - 80 results of 2,129 for search 'Linear has function', query time: 0.16s Refine Results
  1. 61

    Distinct functional cerebral hypersensitivity networks during incisional and inflammatory pain in rats by Silke Kreitz, Bruno Pradier, Daniel Segelcke, Saeedeh Amirmohseni, Andreas Hess, Cornelius Faber, Esther M. Pogatzki-Zahn

    Published 2025-06-01
    “…We developed a comprehensive framework for brain network analysis combining functional magnetic resonance imaging (MRI) with graph-theory (GT) and data classification by linear discriminant analysis. …”
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    Article
  2. 62

    Correlative Light and Electron Microscopy Reveals the HAS3-Induced Dorsal Plasma Membrane Ruffles by Kirsi Rilla, Arto Koistinen

    Published 2015-01-01
    “…Hyaluronan is a linear sugar polymer synthesized by three isoforms of hyaluronan synthases (HAS1, 2, and 3) that forms a hydrated scaffold around cells and is an essential component of the extracellular matrix. …”
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  3. 63

    Towards a New Generation of Impulse‐Response Functions for Integrated Earth System Understanding and Climate Change Attribution by Alexander J. Winkler, Carlos A. Sierra

    Published 2025-04-01
    “…Recent research has brought new mathematical and computational techniques to address non‐linearity and to obtain spatially explicit state‐aware IRFs to tackle a new set of questions in carbon‐climate science. …”
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  4. 64
  5. 65

    Exact Solutions for Strong Nonlinear Oscillators with Linear Damping by Livija Cveticanin

    Published 2025-05-01
    “…The analytical procedure was developed based on the application of the Ateb (inverse beta) function. It has been shown that an exact solution exists for a specific relationship between the damping coefficient and the coefficient of the linear elastic term, and that this relationship depends on the order of nonlinearity. …”
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  6. 66

    Linearization of Nonautonomous Impulsive System with Nonuniform Exponential Dichotomy by Yongfei Gao, Yonghui Xia, Xiaoqing Yuan, P. J. Y. Wong

    Published 2014-01-01
    “…This paper gives a version of Hartman-Grobman theorem for the impulsive differential equations. We assume that the linear impulsive system has a nonuniform exponential dichotomy. …”
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  7. 67

    Parameter Identification and Linear Model of Giant Magnetostrictive Vibrator by Anming Wang, Jianjun Meng, Ruxun Xu, Decang Li

    Published 2021-01-01
    “…The linear magnetization model, which has great engineering application value, can be applied in the open-loop control of the vibrator.…”
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  8. 68

    Evolution of linear triterpenoid biosynthesis within the Euphorbia genus by Tomasz Czechowski, Yi Li, Alison D. Gilday, David Harvey, Sandesh H. Swamidatta, Benjamin R. Lichman, Jane L. Ward, Ian A. Graham

    Published 2025-07-01
    “…The anti-fungal compound peplusol is another linear C30 triterpene, but has only been reported in the genus Euphorbia. …”
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  9. 69

    Linear Trend, HP Trend, and bHP Trend by Hiroshi Yamada

    Published 2025-06-01
    “…The modelling of the trend component of economic time series has a long history, and the most primitive and popular model displays the trend as a linear function of time. …”
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  10. 70

    Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

    Published 2021-09-01
    “…Properties of these estimators depend on the choice of penalty and its shape parameters, such as degree of asymmetry for the quantile loss, and transition point between linear and quadratic pieces for the Huber function.In this paper, we develop a statistical framework that can help the modeler to automatically tune shape parameters once the shape of the penalty has been chosen. …”
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    Combined approximation algorithms for interactive design of road routes in CAD by D. A. Karpov, V. I. Struchenkov

    Published 2023-08-01
    “…The problem of element-by-element approximation by a circle and a clothoid is formalized as a lowdimensional non-linear programming problem. The objective function is the sum of squared deviations from the original points. …”
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  16. 76

    Application of Fuzzy Linear Programming Model in Agricultural Economic Management by Yuping Wang

    Published 2022-01-01
    “…Fuzzy linear programming has a wide range of applications in agricultural economic management. …”
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  17. 77

    A Proposal to the Solution of Multiobjective Linear Fractional Programming Problem by Nuran Güzel

    Published 2013-01-01
    “…We have proposed a new solution to the Multiobjective Linear Fractional Programming Problem (MOLFPP). The proposed solution is based on a theorem that deals with nonlinear fractional programming with single objective function and studied in the work by Dinkelbach, 1967. …”
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  18. 78

    Implementation of generalized estimating equations and mixed linear models in Python by Kui-Zhuang JIAO, Xu-Xi MA, Xiao-Qian MA, Chao-Yi LIU, Qing ZHANG, Lu MA

    Published 2022-10-01
    “…Objective Explore the implementation of generalized estimation equations (GEE) and mixed linear models (MLM) in longitudinal data analysis using Python software, and expand its application in statistical analysis.Methods GEE and MLM were constructed by Python software to explore the impact of PM2.5 on lung function (forced expiratory volume in1second, FEV1) with an example of environmental epidemiology, and compared with the results of R software.Results With PM2.5 increases of 1 μg/m3, the FEV1 of the subjects decreased by 8 mL after 2 days. …”
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  19. 79

    Studying the Stability of One of Non-Linear Autoregressive Relational Models by Abdulghafoor Salim, Hamed Kalaf

    Published 2011-07-01
    “…In this paper, we suggestion the stationarity of one of the non linear -Autoregressive time series models called rational model has been studied which is a fraction whose numerator is the cosine function and its denominator is an exponential Autoregressive models. …”
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  20. 80

    Kernel Negative ε Dragging Linear Regression for Pattern Classification by Yali Peng, Lu Zhang, Shigang Liu, Xili Wang, Min Guo

    Published 2017-01-01
    “…However, they usually predefine a strict binary label matrix which has no freedom to fit the samples. In addition, they cannot deal with complex real-world applications such as the case of face recognition where samples may not be linearly separable owing to varying poses, expressions, and illumination conditions. …”
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