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Showing 21 - 40 results of 1,457 for search '(( variable function (efficiency. OR efficiency.) ) OR ( variable function efficient. ))~', query time: 0.20s Refine Results
  1. 21

    Optimal root pruning to promote growth and water use efficiency of rice seedlings by ZHU Mei, HU Chenfan, LIU Shuoshuo, LIN Shimiao, LIU Jingzhe

    Published 2025-07-01
    “…Key indicators such as seedling vigor index, root-to-shoot ratio, photosynthetic traits, and water use efficiency were measured during the. Using the membership function method, seven variables were used to comprehensively assess the impact of different pruning treatments.…”
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    Functional Analysis of Thyme Production in Denizli Province by Arif Semerci, Enver Ken

    Published 2024-01-01
    “…The fact that the sum of the production elasticity coefficients of the factors in the estimation equation for the amount of thyme production (∑βi) was 1.12 indicates there is increasing returns to scale. Among the variables in the production function, the variables with marginal efficiency coefficient above 1 were determined as the production area (3.20) and the fertilizer factor (1.33). …”
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  4. 24

    Onion production costs as a function of water content and soil tillage by Jardênia R. Feitosa, Haroldo C. Fernandes, Paulo R. Cecon, Mauri M. Teixeira, Anderson G. Costa, Edival C. da Silva

    “…The costs related to mechanized operations, manual operations, inputs and crop irrigation were determined. The economic efficiency was evaluated through the variables total cost and unit cost of onion production, gross revenue, net revenue and internal rate of return. …”
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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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  7. 27

    Efficiency of tray dryer moisture removal: Experimental and AI studies by A. Al-Haddad, T. Kikhavani, Seyyed Hosseini

    Published 2025-12-01
    “…These results offer practical guidance for optimizing the tray dryer efficiency.…”
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    Article
  8. 28

    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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    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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    Cost Optimisation of Supply Chains in the Food Industry: Cost Function Modelling by Ion Popa, Sorina-Geanina Stănescu, Anișoara Duică, Elisabeta Ilona Molnar, Mircea Constantin Duică

    Published 2025-05-01
    “…The proposed cost function allows for assessing the impact of these variables on total costs and identifying critical areas for optimisation. …”
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    Article
  15. 35

    Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building by Liu Zhaohui, Li Zhenyu, Tan Hongwei, Xu Wen, Feng Wenbo, Yi Biyi

    Published 2017-01-01
    “…To develop this strategy, a variable-speed heat-pump model and the objective function for optimization of the heat-pump sequence control were first established, so as to determine the optimal solutions under partial building loads. …”
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  16. 36

    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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  17. 37

    Leveraging normal distribution and fuzzy S-function approaches for solar cell electrical characteristic optimization by Mahmood Ruqaya Shaker, Al-Gebory Layth, Mustaf Ammar Saad, Khalid Yasameen Waleed, Alameri Kawther A., Rasheed Mohammed, Rashid Taha

    Published 2025-05-01
    “…Furthermore, a fuzzy S-function model was applied to account for uncertainty and variability in real-world conditions. …”
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  18. 38

    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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  19. 39

    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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