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    Interdecadal Variability of Summer Precipitation Efficiency in East Asia by Jian Wang, Shu Gui, Anqi Ma, Ruowen Yang, Qi Zhang

    Published 2019-01-01
    “…Two major modes of summertime precipitation efficiency are identified using Empirical Orthogonal Function (EOF) analysis. …”
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    Variable power functional dilution adjustment of spot urine by Thomas Clemens Carmine

    Published 2025-01-01
    “…This study introduces a novel variable power functional creatinine correction method (V-PFCRC) to normalize analytes to 1 g/L CRN by utilizing uncorrected analyte levels and two analyte-specific coefficients, c and d. …”
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    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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    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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    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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    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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    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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    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
    “…The northeastern region had higher leaf pH and lower photosynthetic efficiency compared to the southern and central regions. …”
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    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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    A Novel High-Efficiency Variable Parameter Double Integration ZNN Model for Time-Varying Sylvester Equations by Zhe Peng, Yun Huang, Hongzhi Xu

    Published 2025-02-01
    “…In this paper, a High-Efficiency Variable Parameter Double Integration Zeroing Neural Network (HEVPDIZNN) model combining variable parameter function and double integration is proposed to solve the time-varying Sylvester matrix equations, using the decreasing function with a large initial value as the variable parameter. …”
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