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Showing 81 - 100 results of 2,280 for search 'variable function ((coefficient. OR coefficiency.) OR efficient.)', query time: 0.15s Refine Results
  1. 81

    Interpolation of the Function of Two Variables with Large Gradients in the Boundary Layers by A.I. Zadorin

    Published 2015-06-01
    “…The problem of interpolation for the function of two variables with large gradients in the boundary layers is investigated. …”
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    Article
  2. 82

    A radial variable for de Sitter two-point functions by Manuel Loparco, Jiaxin Qiao, Zimo Sun

    Published 2025-05-01
    “…We show that the two-point function of a free massive scalar in the Bunch-Davies vacuum has an exponentially convergent series expansion in this variable with positive coefficients only. …”
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    Article
  3. 83
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  5. 85

    Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

    Published 2025-06-01
    “…Applying the variables screening technique can enhance the efficiency of the airfoil optimization process under acceptable accuracy.…”
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    Article
  6. 86

    An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions by Zeyu Bai, Peng Jia, Jiameng Lv, Xiang Zhang, Wennan Xiang, Lin Nie

    Published 2025-01-01
    “…During real observations, images obtained by optical telescopes are affected by spatially variable point-spread functions (PSFs), a crucial effect requiring accurate simulation. …”
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    Article
  7. 87

    Impact of CYP3A4 functional variability on ziprasidone metabolism by Qi Zhou, Qi Zhou, Yameng Wu, Zhize Ye, Zheyan Zhang, Kai Zheng, Jianchang Qian, Zhongxiang Xiao, Yang Lu

    Published 2025-04-01
    “…This study explored the functional variability of CYP3A4 in ziprasidone metabolism, focusing on drug interactions and genetic polymorphisms.MethodsThe metabolic inhibition and kinetic properties of ziprasidone were evaluated through in vitro experiments utilizing rat liver microsomes (RLM), human liver microsomes (HLM), and CYP3A4 baculosomes. …”
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    Article
  8. 88

    Experimental Study on Optimal Refrigerant Charge of Multi-functional Air-conditioning Hot Water Heater by Wang Haifeng, Zhang Shoubing, Yuan Huihui, Sun Yajuan, Li Yuduo, Dong Shanshan

    Published 2015-01-01
    “…A new type of double-flow accumulator was developed, which can automatically adjust the amount of circulating refrigerant on the system of multi-functional air-conditioning/hot-water heater so that the system was more stable and efficient under multi-working modes. …”
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    Article
  9. 89
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  11. 91

    Arbitrary Random Variables and Wiman’s Inequality by Andriy Kuryliak, Oleh Skaskiv, Andriy Bandura

    Published 2024-10-01
    “…We study the class of random entire functions given by power series, in which the coefficients are formed as the product of an arbitrary sequence of complex numbers and two sequences of random variables. …”
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    Article
  12. 92

    Evaluation of remote sensing soil moisture data products with a new approach to analyse footprint mismatch with in-situ measurements by Qiuxia Xie, Li Jia, Massimo Menenti, Qiting Chen, Jingxue Bi, Yonghui Chen, Chunmei Wang, Xinju Yu

    Published 2024-12-01
    “…SMAP L3.0, ASCAT V3.0, ESA/CCI V7.1 and GLDAS V2.2) are vital for applications in hydrology, climate variability, and agriculture. This study uses a new SSM evaluation approach by combining temporal evolution, Coefficient of Variation (CV), Cumulative Distribution Function (CDF), evaluation metrics, and Triple Collocation Analysis (TCA) to assess SSM accuracy and spatial–temporal variability, particularly the impact of footprint mismatch when comparing retrieved SSM with in-situ measurements. …”
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    Article
  13. 93

    Brain activation and heart rate variability as markers of autonomic function under stress by Annika Huber, Julian Koenig, Bastian Bruns, Martin Bendszus, Hans-Christoph Friederich, Joe J. Simon

    Published 2025-08-01
    “…Since the neural dynamics underlying brain–heart interactions remain poorly understood, this study investigated brain activation and heart rate variability (HRV) during stress and relaxation. Functional magnetic resonance imaging (fMRI) and peripheral heart rate assessment were used to assess brain–heart coupling during breathing-induced relaxation, psychosocial stress and stress recovery in 32 healthy participants. …”
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    Article
  14. 94

    The analysis of the "Theory of functions of the complex variable" test with attraction of models Russia and Birnbaum by Lidia A. Muratova

    Published 2019-03-01
    “…In work the analysis of the "Theory of Functions of a Complex Variable" test is carried out. …”
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    Article
  15. 95
  16. 96

    An Analytical Approximation of the Stress Function for Conical Flywheels by Miguel Garcia, Onofre Orozco-López, Jesús Uribe-Chavira, Andrés Blanco-Ortega

    Published 2025-04-01
    “…Starting from a stress function, the model was simplified under the assumption of a small-thickness gradient, allowing the derivation of a closed-form solution. …”
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    Article
  17. 97

    Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy by Guohua Wu, Witold Pedrycz, Haifeng Li, Dishan Qiu, Manhao Ma, Jin Liu

    Published 2013-01-01
    “…We propose a knowledge-based variable reduction strategy (VRS) that can be integrated into EAs to solve unconstrained and first-order derivative optimization functions more efficiently. …”
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    Article
  18. 98

    Regional Variability in Growth and Leaf Functional Traits of <i>Mitragyna speciosa</i> in Thailand by Suthaporn Chongdi, Suwimon Uthairatsamee, Chatchai Ngernsaengsaruay, Tushar Andriyas, Nisa Leksungnoen

    Published 2025-02-01
    “…This study examined the leaf functional traits associated with kratom’s growth in the southern (native habitat), central, and northeastern regions of Thailand. …”
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    Article
  19. 99
  20. 100

    Correlation and path analysis of interaction between snap beans yield and its components with crop management by N. Shaban

    Published 2021-03-01
    “…Results showed that fresh weight of pod/studied variant (+++0.99), fresh weight of one pod (+++0.77), fresh weight of pods/ plant (+++0.67), calcium content in bean pods (++0.57), pods number /plant (++0.51), pollen fertility (++0.44) had positive impact on yield. The partial function of the studied parameters on variability of bean yield is 98.9%. …”
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    Article