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Showing 121 - 140 results of 2,280 for search '(variable OR variables) function ((coefficiency. OR coefficiency.) OR efficient.)', query time: 0.25s Refine Results
  1. 121
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    Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline by Davydenko L.V., Davydenko N.V., Davydenko V.A., Sprake D.

    Published 2022-03-01
    “…This methodology was applied to a boiler house of a district heating system. Relevant variables were formed using a three-stage selection of fac-tors that influence the gas consumption efficiency of the boiler house. …”
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    Genetics of Physiological Variation Within and Between Larval Wild-Type AB and Backcrossed NHGRI-1 Zebrafish (<i>Danio rerio</i>) by Gil Martinez-Bautista, Moira Ryann Cartee, Dyuksha Kunder, Crystelle Lee, Karol Tang, Neha Nagarajan, Pamela Padilla, Warren Burggren

    Published 2025-01-01
    “…To explore the role of genetics in physiological variation, we assessed variation of cardiac function (heart rate, stroke volume, and cardiac output), oxygen consumption, yolk conversion efficiency, and cost of development in embryonic and larval AB wild-type and NHGRI-1 zebrafish (low heterozygosity line backcrossed from AB wild-type) exposed to different temperature and oxygen regimes. …”
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  5. 125

    Solutions of Bessel’s Differential Equations by Variable Change Method by Beyalfew Anley, Daba Meshesha Gusu, Tolosa Nigussie

    Published 2024-01-01
    “…In this article, the solutions of Bessel’s differential equations (DEs) by variable change method are formulated. To do so, we have considered the first and second kind of Bessel’s functions which are obtained as solutions of Bessel’s equations and it is used to determine the solutions of the lengthening pendulum (LP). …”
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  6. 126

    Variable-Rate Incremental-Redundancy HARQ for Finite Blocklengths by Yu Fu, Angel Lozano, Hongwen Yang

    Published 2025-01-01
    “…Numerical results confirm that the optimized variable-rate IR-HARQ significantly outperforms its fixed-rate counterpart, both with ideal codes and with a 5G commercial code. …”
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  7. 127

    Bio-optical variability of particulate matter in the Southern Ocean by Juan Li, Juan Li, David Antoine, David Antoine, Yannick Huot

    Published 2024-10-01
    “…Here, we combined field measurements from hydrographic casts from two research voyages and from autonomous profiling floats (BGC-Argo) to examine particulate bio-optical properties and relationships among several ecologically and optically important variables, namely the phytoplankton chlorophyll a concentration (Chl), the particulate absorption coefficient (ap), the particulate backscattering coefficient (bbp), and the particulate organic carbon (POC) concentration. …”
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  8. 128

    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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  9. 129

    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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  10. 130

    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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    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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  13. 133

    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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  14. 134
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    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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    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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    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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