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Showing 101 - 120 results of 2,280 for search '(variable OR variables) function (coefficient. OR efficient.)', query time: 0.10s Refine Results
  1. 101

    Spatial variability of the snow depth on mountain slope in Svalbard by P. A. Chernous, N. I. Osokin, R. A. Chernov

    Published 2018-09-01
    “…The study was carried out to estimate the spatial variability of snow cover depths in avalanche centers of the mountain slopes of Svalbard. …”
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  2. 102

    Variable Selection and Parameter Estimation with the Atan Regularization Method by Yanxin Wang, Li Zhu

    Published 2016-01-01
    “…Many variable selection techniques may be implemented by penalized least squares using various penalty functions. …”
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  3. 103

    A Self-Tuning Variable Universe Fuzzy PID Control Framework with Hybrid BAS-PSO-SA Optimization for Unmanned Surface Vehicles by Huixia Zhang, Zhao Zhao, Yuchen Wei, Yitong Liu, Wenyang Wu

    Published 2025-03-01
    “…In this study, a hybrid heading control framework for unmanned surface vehicles (USVs) is proposed, combining variable domain fuzzy Proportional–Integral–Derivative (VUF-PID) with an improved algorithmic Beetle Antennae Search–Particle Swarm Optimization–Simulated Annealing (BAS-PSO-SA) optimization to address the multi-objective control challenge. …”
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  4. 104
  5. 105

    A Data-Driven Iterative Feedforward Tuning Strategy with a Variable-Gain Feedback Controller for Linear Servo Systems by Jiaqian Fu, Shanhu Li

    Published 2025-06-01
    “…Theoretical verification and experimental results indicate the excellent iterative efficiency and accuracy of IFFT with a variable-gain feedback controller.…”
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  6. 106

    Enhancing water use efficiency: Insights from hydrological variability encounter of multiple water sources and implications for terminal Lake management in arid regions by Kun Liu, Yunfei Chen, Bin Wu, Hailiang Xu, Abdul Waheed, Fan Gao, Bing He, Long Zhou, Jie Wu, Qin Zhang, Jinhao Ju

    Published 2025-06-01
    “…Multivariate empirical mode decomposition (MEMD) was applied to identify periodic characteristics of runoff, while wavelet coherence transform assessed the consistency of runoff patterns. A Copula function was then utilized to construct a joint distribution model, quantifying variability patterns and their cascading effects on ecological water use in Taitema Lake. …”
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  7. 107
  8. 108

    Influence of preoperative variables on the 3-month functional outcomes of the Vivity extended depth-of-focus intraocular lens: a prospective case series by Giacomo Savini, Alice Galzignato, Catarina P. Coutinho, Jinhai Huang, Yue Wu, Piero Barboni, João Mendanha Dias, Filomena J. Ribeiro, Domenico Schiano-Lomoriello

    Published 2025-02-01
    “…Assuming a minimum Pearson r correlation coefficient between variables of 0.5 with a power of 80% and a P value less than 0.05, a minimum sample size of 29 (58 eyes) cases was required. …”
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  9. 109
  10. 110

    A Numerical Scheme Based on the Chebyshev Functions to Find Approximate Solutions of the Coupled Nonlinear Sine-Gordon Equations with Fractional Variable Orders by MohammadHossein Derakhshan

    Published 2021-01-01
    “…In this article, a numerical method based on the shifted Chebyshev functions for the numerical approximation of the coupled nonlinear variable-order fractional sine-Gordon equations is shown. …”
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  11. 111
  12. 112

    The constrained-disorder principle defines the functions of systems in nature by Yaron Ilan

    Published 2024-12-01
    “…The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent variability. Per the CDP, the intrinsic variability is mandatory for their proper function and is dynamically changed based on pressures. …”
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  13. 113
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  15. 115

    Related factors and prognostic significance of predialysis blood pressure variability by LV Yu-feng, DONG Hai-xia

    Published 2018-01-01
    “…Objective To study the clinical variables that may plausibly influence predialysis systolic blood pressure variability(SBPV),and to investigate the correlations of predialysis SBPV with all-cause mortality in patients receiving prevalent maintenance hemodialysis(MHD).Methods A total of 50 patients were enrolled in the study.All the blood pressure values before each dialysis were recorded between March and May in 2011.The mean systolic pressure(SBP)was calculated,and SBPV was estimated with the coefficient of variability.During the three months,clinical data and related biochemical parameters were collected,and echocardiography was carried out to detect cardiac structure and function.Death events were recorded during the next five years.Results The predialysis SBPV was 8.5% ±2.1%.SBPV showed a positive correlation with the age,body mass index(BMI)and left atrial diameter(LAD)(P<0.05 for all).Meantime,SBPV showed a negative correlation with the serum creatinine(SCr),average DBP,parathyroid hormone(PTH),doses of calcium carbonate and activated vitamin D(P<0.05).Patients with diabetes mellitus(DM),coronary artery disease(CAD)or taking alfablocker had higher SBPV(P<0.05).SBPV was used as a variate for conducting the multiple linear regression analysis,after adjustment,the seven variables of age,DM,CAD,BMI,LAD,SCr and taking alfa-blocker maintained their associations with predialysis SBPV(P<0.05).The equation of R~2=0.630.During 5 years of follow-up,12 patients died(24.0%).The Kaplan-meier survival analysis showed that the predialysis SBPV elevation was associated with the mortality rate(P<0.01).Conclusions Advanced age,the history of DM and/or CAD,lower SCr,higher BMI and LAD,and taking alpha-blocker were the independent risk factors of increased predialysis SBPV.The predialysis SBPV increase is associated with all-cause mortality in patients given prevalent MHD.…”
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  16. 116

    Bistable variable stiffness laminates - novel manufacturing and modeling strategies by P.M. Anilkumar, A. Haldar, G. Clancy, S. Scheffler, B.N. Rao, P.M. Weaver, R. Rolfes

    Published 2025-07-01
    “…Bistable laminates offer a path to energy-efficient and multi-functional structures, with potential applications in various engineering domains. …”
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  17. 117

    Inter-phantom variability in digital mammography: implications for quality control by Gisella Gennaro, Gilberto Contento, Andrea Ballaminut, Francesca Caumo

    Published 2025-04-01
    “…Variability was assessed by calculating intra- and inter-phantom variances and coefficients of variation (COVs). …”
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  18. 118

    Investigation on Free Vibration of Rotating Cylindrical Shells with Variable Thickness by Liu Xiangdong, Hou Xiaoli, Bai Bin, Zeng Maolin

    Published 2023-01-01
    “…The scientific and effective method is to design the variable thickness of RCS (VTRCS) along the axial direction in response to this demand. …”
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  19. 119

    The acoustic wave generation by a thin layer with variable temperature by Roman DYBA, Bronisław ŻÓŁTOGÓRSKI

    Published 2015-07-01
    “…It was shown that, in view of the low efficiency of the temperature—pressure conversion, it is necessary to generate large layer temperature changes to obtain the mean values of sound intensity, whereas the maximum of the modulus of the transmittance function of the source occurs even for very thin layers. …”
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  20. 120

    Modeling the Impact of Fabrication Variabilities on the Performance of Silicon Avalanche Photodetectors by David Liu, Luca F. Errico, Matteo G. C. Alasio, Mike Zhu, Enrico Bellotti

    Published 2024-01-01
    “…This work presents a systematic study of the sensitivities of silicon avalanche photodiode (APD) performance metrics, including gain, excess noise, and bandwidth, to potential variabilities in the fabrication process. The APDs simulations are performed using a state-of-the-art Full-Band Monte Carlo (FBMC) device simulator with the integrated band structure and scattering rates calculated <inline-formula><tex-math notation="LaTeX">$\mathit{ab{-}initio}$</tex-math></inline-formula> with density-functional theory (DFT). …”
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