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Showing 161 - 180 results of 2,280 for search '(( variable function coefficiency. ) OR ( variable function efficient. ))', query time: 0.21s Refine Results
  1. 161

    Averaged and Integrated Estimations of Varying-Coefficient Regression Models with Dependent Observations by Guo-Liang Fan, Hong-Xia Xu

    Published 2019-01-01
    “…This paper studies the varying-coefficient regression models with different smoothing variables when the data form a stationary α-mixing sequence. …”
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    The CFS-PML for 2D Auxiliary Differential Equation FDTD Method Using Associated Hermite Orthogonal Functions by Feng Jiang, Xiao-Ping Miao, Feng Lu, Li-Yuan Su, Yao Ma

    Published 2017-01-01
    “…The complex frequency shifted (CFS) perfectly matched layer (PML) is proposed for the two-dimensional auxiliary differential equation (ADE) finite-difference time-domain (FDTD) method combined with Associated Hermite (AH) orthogonal functions. According to the property of constitutive parameters of CFS-PML (CPML) absorbing boundary conditions (ABCs), the auxiliary differential variables are introduced. …”
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  5. 165

    Application of Empirical Orthogonal Function Interpolation to Reconstruct Hourly Fine Particulate Matter Concentration Data in Tianjin, China by Hongwu Zhou, Haidong Pan, Shuang Li, Xianqing Lv

    Published 2020-01-01
    “…Finally, six evaluation indices (mean absolute error (MAE), RMSE, correlation coefficient (Corr), deviation rate bias, Nash–Sutcliffe efficiency (NSE), and index of agreement (IA)) are calculated. …”
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  6. 166

    Five functional domains associated with gait performance in Parkinson’s disease and lateral trunk flexion by Keisuke Ota, Hiroki Mani, Keita Nochimura, Yuichi Nakashiro, Shinsuke Hamada, Fumio Moriwaka

    Published 2025-04-01
    “…The participants walked with a motion sensor on a straight 20 m path at a comfortable speed. Fifteen gait variables (10 gait cycles) were evaluated and categorized into pace, rhythm, asymmetry, variability, and postural control functional domains and were compared between groups.ResultsThe LTF angle, SVV angle; MDS-UPDRS-Part III total, rigidity, and axial scores; and the coefficients of variance for step length, step time, and stance time were significantly higher in the LTF group than in the No LTF group. …”
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    Heart Rate Variability (HRV) as a Marker of Improved Autonomic Function in PMS: A Homeopathy Intervention-Based Single Blind Randomized Control Study by Nayana P. Barde, Pradip B. Barde, Ajay O. Dahad, Tripathi Shatrugan, Anagha Kulkarni, Tapas K. Kundu

    Published 2024-01-01
    “…Both groups were followed for 6 months. Autonomic function was assessed using HRV, employing NICOMON, and clinical improvement was evaluated through the Menstrual Distress Questionnaire (MDQ). …”
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    Patterns of intra-cluster correlation coefficients in school-based cluster randomised controlled trials of interventions for improving social-emotional functioning outcomes in pupi... by Kitty Parker, Michael Nunns, ZhiMin Xiao, Tamsin Ford, Paul Stallard, Willem Kuyken, Nick Axford, Obioha C. Ukoumunne

    Published 2025-05-01
    “…Abstract Background The cluster randomised trial (CRT) design is increasingly used to evaluate the impact of school-based interventions for improving social-emotional functioning outcomes in pupils. Good knowledge is required on plausible values of the intra-cluster correlation coefficient (ICC) of the outcome to calculate the required sample size in such studies. …”
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  14. 174

    Blood pressure variability combined with coagulation function in early prediction and outcome assessment of germinal matrix-intraventricular hemorrhage in preterm infants with gest... by Lijun Jiang, Qian Yu, Hui Li, Fudong Wang, Feng Liu, Zhenxing Xu

    Published 2025-01-01
    “…<h4>Objective</h4>To determine the association between blood pressure variability (BPV), coagulation indexes, and germinal matrix-intraventricular hemorrhage (GMH-IVH) in preterm infants with gestational age ≤ 32 weeks. …”
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    Some series whose coefficients involve the value ζ(n) for $n$n odd by L. R. Bragg

    Published 1989-01-01
    “…By using two basic formulas for the digamma function, we derive a variety of series that involve as coefficients the values (2n+1), n=1,2,⋯, of the Riemann-zeta function. …”
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    Augmented robustness in home demand prediction: Integrating statistical loss function with enhanced cross-validation in machine learning hyperparameter optimisation by Banafshe Parizad, Ali Jamali, Hamid Khayyam

    Published 2025-09-01
    “…Sustainable forecasting of home energy demand (SFHED) is crucial for promoting energy efficiency, minimizing environmental impact, and optimizing resource allocation. …”
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