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  1. 381

    Assessment of the significance of factors associated with the development of long-term adverse cardiovascular events in type 2 diabetes mellitus by D. V. Grazhdankina, I. A. Bondar, A. A. Demin

    Published 2022-10-01
    “…Concentration of N-terminal pro-brain natriuretic peptide (NTproBNP) was determined on an Immulait 2000 Siemens analyzer by immunochemiluminescence assay. Glycemic variability was assessed by calculating the standard deviation (SD) and coefficient of variation (CV) of glycemia during the day according to laboratory measurements of glucose levels at least 3 times a day for at least 3 days. …”
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  2. 382
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  4. 384

    Characterization and Comparison of Athletic Performance and Change of Direction Deficit Across Youth Futsal Age Groups by João P. Oliveira, Daniel A. Marinho, Tatiana Sampaio, Sílvio Carvalho, Hugo Martins, Jorge E. Morais

    Published 2025-03-01
    “…<b>Background/Objectives:</b> Futsal players need peak strength, functional capacity, speed, and explosive lower-limb power for optimal performance. …”
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    The estimation of correlation between milk and reproductive traits in holstein by canonical correlation analysis by İsmet Doğan

    “…The process ot maximizing the correlation between two linear function ot two sets of random variables is known as Canonical Correlation Analysis, Canonical Correlation Analysis is a statistical method which has been used to describe the re latıonshıp between a set o! …”
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  14. 394

    Tomato quality based on colorimetric characteristics of digital images by Thaísa B. Bello, Anderson G. Costa, Thainara R. da Silva, Juliana L. Paes, Marcus V. M. de Oliveira

    “…The correlation between colorimetric and physico-chemical variables was analyzed using the Pearson’s coefficient. …”
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  15. 395

    IDENTIFICATION OF NOMINAL DYNAMIC CHARACTERISTICS OF AIRCRAFT GAS TEMPERATURE SENSORS by A. F. Sabitov, I. A. Safina

    Published 2017-02-01
    “…The heat transfer coefficient is calculated based on the expected operating conditions of the gas temperature sensors.The result of the study was that the parameters of the hyperbolic function of the nominal variables of the time constants for the dynamic model of the second order gas temperature sensors were found. …”
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  16. 396

    Modal Analysis of QP and LP Solution in Steady-state Optimization Layer of Two-layer Structure MPC by WANG Hongrui, ZHANG Xin, LIU Bowen, LIN Na, ZOU Tao

    Published 2020-01-01
    “…Simulation results prove that QP had better continuity than LP when the weight coefficient of decision variables are changed, and the weight coefficient of QP can more accurately adjust the bias of decision variables. …”
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  17. 397

    An improved robust variance inflation factor: Reducing the negative effects of good leverage points by Osman Ufuk Ekiz

    Published 2023-03-01
    “…It is defined as the function of the coefficient of determination between the explanatory variables, and it is based on the maximum likelihood estimator of the regression coefficients. …”
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  18. 398

    Relación entre comunidad íctica y cobertura vegetal riparia en dos períodos hidrológicos (Eje Cafetero, Colombia) by María Angélica Pérez-Mayorga, Saúl Prada-Pedreros

    Published 2011-08-01
    “…Therewere no significant differences (P>0.05) among the structural variables, the HYPE and the RVC. According to r and r2 the diet of most fish species did not vary as a function of RVC and HYPE; however, according to the CCA diet varies as a function of HYPE but not of RVC. …”
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  19. 399

    Estimating Daily Rice Crop Evapotranspiration in Limited Climatic Data and Utilizing the Soft Computing Algorithms MLP, RBF, GRNN, and GMDH by Pouya Aghelpour, Hadigheh Bahrami-Pichaghchi, Farzaneh Karimpour

    Published 2022-01-01
    “…The ETc rates were calculated by seven meteorological variables, the FAO-56 Penman-Monteith equation, and the regional calibrated rice crop coefficient and considered as the reference data. …”
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  20. 400

    Optimization Design of CO2 Air Cooler by Liu Bin, Su Yun, Dong Xiaoyong, Wang Congfei, Cai Jinghui

    Published 2012-01-01
    “…Volume and the heat transfer coefficient of the heat exchanger are taken as an object function respectively, and fin-pitch, tube distance, tube rows, row numbers, diameter of heat pipe and the lengths of single pipe are selected as decision variables. …”
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