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Showing 761 - 780 results of 2,280 for search 'variable function ((coefficient. OR (coefficiency. OR efficiency.)) OR efficient.)', query time: 0.22s Refine Results
  1. 761

    Transient decline and early recovery of noninvasive myocardial work after kidney transplantation: a prospective study by Yulin Huang, Lin Jin, Xinyan Qiu, Canying Yang, Luyi Ping, Zhengyao Jiang, Hua Zou, Zhihong Zhang, Jiwei Wang

    Published 2025-12-01
    “…NIMW parameters include global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE).Results 1) Renal function indicators, including blood urea nitrogen, serum creatinine, and estimated glomerular filtration rate improved significantly at 10 days post-KT. …”
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  5. 765

    Pectin extraction from cocoa husk of different genotypes and stages of ripeness by Enrique Arévalo-Gardini, Cesar Oswaldo Arévalo-Hernández, Virupax Baligar, Dapeng Zhang

    Published 2025-07-01
    “…Results showed that genotype and ripeness significantly affect extraction efficiency and pectin functionality. The highest pectin yield was 77.7% for IMC-67 (ripe) and 72.6% for CCN51 (semi-ripe) at optimal conditions (pH 1.5–1.6, 80 °C, 75 minutes). …”
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  6. 766

    Optimal ANOVA-Based Emulators of Models With(out) Derivatives by Matieyendou Lamboni

    Published 2025-03-01
    “…Our emulators are also competitive in dealing with different distributions of the input variables and selecting inputs and interactions. Simulations show the efficiency of our approach.…”
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  7. 767

    Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

    Published 2025-01-01
    “…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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    Kidney Function and Incident Stroke and Dementia Using an Updated Estimated Glomerular Filtration Rate Equation Without Race: The Multi-Ethnic Study of Atherosclerosis by Samuel R. Moen, Jeffrey R. Misialek, Timothy M. Hughes, Craig W. Johnson, Mark J. Sarnak, Sarah N. Forrester, W.T. Longstreth, Jr., Mercedes R. Carnethon, James S. Pankow, Sanaz Sedaghat

    Published 2025-03-01
    “…Rationale & Objective: Equations for estimated glomerular filtration rate (eGFR) have previously included a coefficient for African American race. We evaluated and compared risk of incident stroke and dementia between old and new equations of eGFR for African American and non-African American participants. …”
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  10. 770

    STRUCTURAL RELIABILITY OPTIMIZATION DESIGN OF REINFORCED SHELL MODEL BASED ON ADAPTIVE SURROGATE MODEL by LIU YuZhuo, CAO LiXiong, WU JianGuo, LI HaiBo

    Published 2024-01-01
    “…Reinforced shell structure is widely used in aerospace load-bearing structures because its high specific stiffness and specific strength.By considering the uncertainty and risk factors in the structural parameters,the Reliability-Based Design Optimization (RBDO) can avoid the overly conservative design of the structure and ensure its reliability and safety.An efficient RBDO method based on adaptive agent model was proposed.This method solves the problem of lightweight design of reinforced shell structure under buckling reliability constraints.The adaptive addition of sample points was implemented through the expected feasibility function criterion,and the discrete variables was continued by constructing piecewise functions.This increases optimization efficiency while ensuring the reliability of design results.Finally,the effectiveness of the proposed method is verified by comparing the RBDO results with the deterministic optimization results.…”
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  11. 771

    Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

    Published 2025-07-01
    “…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. …”
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  12. 772

    Derivation and external validation of a risk score for clinically important declines in health and function among two longitudinal cohorts of women in the mid-life by Daniel H Solomon, Bernhard Haring, JoAnn E Manson, Rebecca Jackson, Aladdin Shadyab, Carrie Karvonen-Gutierrez, Kristine Ruppert, Leah Santacroce, Sherri-Ann M Burnett-Bowie, Alicia Colvin, Meryl S LeBoff, Celina I Valencia, Nancy E Avis

    Published 2023-08-01
    “…Objectives Women in mid-life often develop chronic conditions and experience declines in physical health and function. Identifying factors associated with declines provides opportunity for targeted interventions. …”
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  13. 773

    Energy Consumption and Economic Growth Nexus: Insights from EU Member States by Dalina-Maria ANDREI

    Published 2024-11-01
    “…It searches for some short/long term relationships of these through a panel type model, based on the Cobb-Douglas neoclassic production function. Reference examples in the literature and tests applied for unit roots and cointegration determine our option for an autoregressive distributed lag (ARDL) model able to identify both common coefficients of long-term relationship between variables and individual (specific to each EU member country) coefficients on short-term relationships. …”
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  14. 774

    A new method to solve multi-objective linear fractional programming problem in fuzzy stochastic environment by Ajeet Kumar, Babita Mishra

    Published 2025-07-01
    “…In this problem, the fuzzy random variables coefficient is involved as the parameters of the objective function as well as system constraints. …”
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  15. 775

    Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach by Hoang Nhat-Duc, Nguyen Quoc-Lam

    Published 2025-03-01
    “…The proposed model is evaluated using root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R 2). Notably, an asymmetric loss function is employed during the training phase of LightGBM to restrict overestimations. …”
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    Multiobjective optimization of Murta (Ugni molinae Turcz) juice lactic acid fermentation with monocultures and cocultures of Lactobacillus acidophilus and Lactiplantibacillus plant... by C.J. Gomes-Lobo, R. Luna, A. Rodríguez-Machado, J.R. Pérez-Correa, W. Franco

    Published 2025-06-01
    “…These findings highlight the practical utility of MOO-MCDM for designing efficient multiobjective fermentation processes in functional food development.…”
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  19. 779

    Decoupling and Insensitivity of Greenness and Gross Primary Productivity Across Aridity Gradients in China by Yuzhen Li, Xiuliang Yuan, Lei Zheng, Wenqiang Zhang, Yue Zhang

    Published 2024-11-01
    “…For different plant functional types (PFTs), decoupling occurred in ENF with a determination coefficient value (R<sup>2</sup>) of 0.04, whereas GRA shows a higher coupling with an R<sup>2</sup> of 0.20. …”
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  20. 780

    Artificial intelligence-driven fuzzy logic approach for optimal well selection in gas lift design: A brown field case study by Nnaemeka Princewill Ohia, Chadi Paul, Emmanuel Asolo, Taiwo Adetomiwa Adewa, Chidimma Favour Chukwu, Paschal Ateb Ubi, Daniel Hogan Itam, Daniel Ugochukwu Nnaji

    Published 2025-03-01
    “…However, selecting suitable wells for gas lift is complex due to the inherent uncertainty and variability in petroleum production data. Traditional decision-making approaches often struggle with this uncertainty, leading to suboptimal choices that can reduce efficiency and increase operational costs. …”
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