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  1. 381

    Multi-objective optimization of heat pump drying process using NSGA-II and response surface methodology: a case study of sludge by Zhaofan Wu, Yongcun Li, Wentao Zhou, Qiang Fu

    Published 2025-08-01
    “…First, the efficacy coefficients of different objectives are determined for standardized evaluation. …”
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    Article
  2. 382

    Determination of β-Agonist Residues in Animal-Derived Food by a Liquid Chromatography-Tandem Mass Spectrometric Method Combined with Molecularly Imprinted Stir Bar Sorptive Extract... by Jiwang Tang, Jianxiu Wang, Shuyun Shi, Shengqiang Hu, Liejiang Yuan

    Published 2018-01-01
    “…Good linearities were obtained for six β-agonists with correlation coefficients (R2) higher than 0.994. These results indicated the superiority of the proposed method in the analysis of β-agonists in a complex matrix.…”
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    Article
  3. 383

    The influence of leaf anatomical traits on photosynthesis in Catimor type Arabica coffee by Ziwei Xiao, Guanrun Ma, Xuehui Bai, Jinhong Li, Mingzhu Zhao, Linlin Su, Hua Zhou

    Published 2024-01-01
    “…To calculate the comprehensive evaluation value of the correlation between leaf anatomical traits and photosynthetic parameters, the Criteria Importance Through Intercriteria Correlation (CRITIC) method was used to obtain the objective weight of each photosynthetic parameter. …”
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    Article
  4. 384
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  7. 387

    Investigation of the Effect of Non-Flat Surfaces on the Performance of Perforated Acoustic Absorber by Zahra Hashemi, Ali Fahim, Mohammad Reza Monazzam

    Published 2023-05-01
    “…In order to simulate the absorption coefficient of a non-flat perforated panel, the finite element method was implemented by the COMSOL 5.3a software in the frequency domain. …”
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    Article
  8. 388

    Features of the formation of winter wheat yield depending on the methods of basic tillage and the level of fertilization in the conditions of the southern foothill zone of the Nort... by N. I. Devterova

    Published 2021-12-01
    “…It was found that from 51,0 to 88,0% of the yield variability depended on the influence and mutual influence of the most significant elements of the yield structure (R2 is the coefficient of determination 0,88; 0,77; 0,51).…”
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    Article
  9. 389

    Analytical Modeling of a Heat Source under Welding of a Steel Sleeve by the Centrifugal Method Using an Axisymmetric Electric Arc by S. P. Glushko

    Published 2025-06-01
    “…In the course of the work, an analytical expression was obtained for determining the coefficient of heat concentration, k = 0.945 / R1². …”
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    Article
  10. 390

    On the Relationship Between the Gini Coefficient and Skewness by Meng Lian, Long Chen, Cang Hui, Fuyuan Zhu, Peijian Shi

    Published 2024-12-01
    “…We showed the differences in improving the accuracy of GC calculations based on small‐sample adjustments among various calculation methods, including the polygon (trapezoidal set) area method and the rotated Lorenz curve method. …”
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    Article
  11. 391

    Estimation of The Physico-Chemical Parameters in Marine Environment (Yumurtalik Bight- Iskenderun Bay) by Gökhan Tamer Kayaalp, Oya Işık, Benin Toklu Alıçlı

    Published 2016-02-01
    “…It was found the negative correlation between the depth and the temperature and light intensity. Determination coefficient of the model for salinity was also found different for day time. …”
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    Article
  12. 392

    UAV-Based Remote Sensing Monitoring of Maize Growth Using Comprehensive Indices by Tingrui Yang, Jinghua Zhao, Ming Hong, Mingjie Ma, Shijiao Ma, Yingying Yuan

    Published 2025-01-01
    “…Among the three machine learning methods, the RF model demonstrated superior performance, showing the highest accuracy in the growth monitoring model established with CGMICT, with a coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>) of 0.724, a root mean square error (RMSE) of 0.117, and mean absolute error (MAE) of 0.097. …”
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    Article
  13. 393

    Comparison of colorimetric and electrochemical (Easy Touch GCU Meter) methods for determination of blood uric acid in clinical practice in patients with gout and hyperuricemia (dat... by M. S. Eliseev, E. V. Panina, O. V. Zheliabina

    Published 2023-10-01
    “…The average values of UA blood level determined by the two compared methods differed by 13.9 μmol/l (3.9 % with respect to the colorimetric method). …”
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    Article
  14. 394

    Analysis of approaches to assessment methods of company’s labor potential by Кorbut К.Е.

    Published 2017-07-01
    “…The article specifies the indicators for coefficient techniques and methods for the comparative approach to the assessment of labor potential. …”
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    Article
  15. 395

    Lake Water Level Estimation with Artificial Intelligence Methods by Aysu AYAR, Fatih ÜNEŞ, Bestami TAŞAR, Hakan VARÇIN

    Published 2025-03-01
    “…When the model results were examined; it was determined that artificial intelligence methods performed well in predicting the lake water level change. …”
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    Article
  16. 396

    A Novel Uranium Quantification Method Based on Natural <i>γ</i>-Ray Total Logging Corrected by Prompt Neutron Time Spectrum by Yan Zhang, Jinyu Deng, Bin Tang, Haitao Wang, Rui Chen, Xiongjie Zhang, Zhifeng Liu, Renbo Wang, Shumin Zhou, Jinhui Qu

    Published 2025-06-01
    “…The drilling core sampling and chemical analysis method for the quantitative determination of solid mineral deposits has several drawbacks, including a low core drilling efficiency, a high core sampling cost, and a long chemical analysis cycle. …”
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    Article
  17. 397

    Methods for early prediction of lactation flow in Holstein heifers by Vesna Gantner, Klemen Potočnik, Krešimir Kuterovac, Ranko Gantner, Boris Antunović

    Published 2010-12-01
    “…As models evaluation measures,adjusted coefficient of determination, and average and standard deviation of error were used. …”
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    Article
  18. 398
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    Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

    Published 2024-03-01
    “…New predictive models were built to determine the rheological parameters of polymers based on artificial intelligence methods. …”
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  20. 400