Showing 1 - 20 results of 1,541 for search '(variable OR variables) (friction OR function) efficiency.', query time: 0.19s Refine Results
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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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    Reliability Analysis in Presence of Random Variables and Fuzzy Variables by Cui Lijie, Lü Zhenzhou, Li Guijie

    Published 2015-01-01
    “…Furthermore, a technique based on the probability density function evolution method is employed to improve the computational efficiency of the proposed indices. …”
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    Performance Analysis of a Reciprocating Refrigeration Compressor Under Variable Operating Speeds by Willian T. F. D. da Silva, Vitor M. Braga, Cesar J. Deschamps

    Published 2025-07-01
    “…Variable-speed reciprocating compressors (VSRCs) have been increasingly used in domestic refrigeration due to their ability to modulate cooling capacity and reduce energy consumption. …”
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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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    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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    Analysis of the Influence of Clutch Drag Torque on the Efficiency of Hydro-mechanical Continuously Variable Transmission by Rong Chai, Mingzhu Zhang, Jianhua Wang, Fang Jia

    Published 2022-04-01
    “…In order to study the influence of multiple clutches on the transmission efficiency of a hydro-mechanical continuously variable transmission (HMCVT),the structure characteristics of a closed loop consisting of multiple wet friction clutches in the transmission are investigated. …”
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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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    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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    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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    Continuous-Variable Quantum Key Distribution Protocol Based on Post-Selection by Hao YU, Bao FENG, Zichun PAN, Wenhe ZHUO, Zhenwei LI

    Published 2019-07-01
    “…Compared with discrete-variable quantum key distribution (DVQKD) protocol that has been widely used in power system, the continuous-variable quantum key distribution (CVQKD), which uses continuous variables to perform QKD protocol, has such advantages as simple equipment, high detection efficiency and good compatibility, and has attracted wide attentions. …”
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    Efficient and variable viscosity fracturing fluid of deep coal rock gas and popularization in ultimate volume fracturing by Bo LIN, Shuai CHEN, Xiangyang YAN, Mengqi CHEN, Liangjun DU, Heng CHEN, Hongsheng LU, Shuai SUN

    Published 2025-02-01
    “…By taking the advantage of SFY-2, a efficient and variable viscosity fracturing fluid is constructed to fit the design idea of coal rock gas Ultimate volume Fracturing, the variable viscosity control scheme is formulated and the construction technology is optimizated to achieve the goal of “Breaking” the coal rock sufficiently, creating complex sewing nets, filling sands fully and supporting effective. …”
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    Addressing Challenges in Simulating Inter–Annual Variability of Gross Primary Production by Ranit De, Shanning Bao, Sujan Koirala, Alexander Brenning, Markus Reichstein, Torbern Tagesson, Michael Liddell, Andreas Ibrom, Sebastian Wolf, Ladislav Šigut, Lukas Hörtnagl, William Woodgate, Mika Korkiakoski, Lutz Merbold, T. Andrew Black, Marilyn Roland, Anne Klosterhalfen, Peter D. Blanken, Sara Knox, Simone Sabbatini, Bert Gielen, Leonardo Montagnani, Rasmus Fensholt, Georg Wohlfahrt, Ankur R. Desai, Eugénie Paul‐Limoges, Marta Galvagno, Albin Hammerle, Georg Jocher, Borja Ruiz Reverter, David Holl, Jiquan Chen, Luca Vitale, M. Altaf Arain, Nuno Carvalhais

    Published 2025-05-01
    “…Both models simulated hourly GPP and were parameterized for (a) each site–year, (b) each site with an additional constraint on IAV (CostIAV), (c) each site, (d) each plant–functional type, and (e) globally. This was followed by forward runs using calibrated parameters, and model evaluations using Nash–Sutcliffe efficiency (NSE) as a model‐fitness measure at different temporal scales across 198 eddy‐covariance sites representing diverse climate–vegetation types. …”
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