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  1. 1401

    Study on scientific productivity determination and scientific productivity improvement of rock burst mine by Feng CUI, Zhong LUO, Xingping LAI, Jianqiang CHEN, Baoshan PENG, Lei ZOU, Xudong LIU

    Published 2025-02-01
    “…It is of great significance to carry out the scientific productivity of rock burst mines and scientifically improve the productivity to ensure the safe and efficient mining of deep coal resources in China. Aiming at the problem of productivity determination and productivity improvement of rock burst mine, the range of mine field containing rock burst coal seam is scientifically divided by theoretical analysis and field monitoring, and the disturbance response characteristics of mining face under different mining methods, mining sequences and mining layouts in rock burst mine are analyzed, the determination method of scientific productivity of rock burst mine is established, and the top-level design and practice method of scientific productivity improvement of rock burst mine are put forward. …”
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  2. 1402

    Square-wave voltammetric trace determination of aminophylline in urine – application for pharmaceutical formulation by M. M. Al-Imam, S. T. Sulaiman

    Published 2015-05-01
    “…The standard addition method was used successfully to determine the drug in urine of the patients as well as for the analysis of drug in the tablets, and compared with standard method…”
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  3. 1403
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  5. 1405

    Determination of 12 methylsiloxanes residues in Baijiu contacting materials by GC-MS/MS by LU Lunwei, TIAN Dongwei, ZHU Xiajian, WANG Jinlong, DUAN Xulin, LIU Ming, YOU Xiaolong, LU Hu

    Published 2025-03-01
    “…To investigate methylsiloxanes residues in Baijiu contacting materials, a method for determination of 12 methylsiloxanes (cyclic methylsiloxanes, numbered as D3-D8; linear methylsiloxanes, numbered as L3-L8) in Baijiu contacting materials was established by gas chromatography-tandem mass spectrometry (GC-MS/MS). …”
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  6. 1406
  7. 1407

    Rapid determination of the physiological temperature range for the giant freshwater prawn (Macrobrachium rosenbergii) by Meng-Li Tsai, Tsen-Chien Chen, Zi-Yan Chou, Wen-Yi Wu

    Published 2025-03-01
    “…On the basis of our findings, we propose the following salient physiological temperature ranges for the giant freshwater prawn: (1) upper and lower critical temperatures of 35°C and 15°C, respectively; (2) upper and lower pejus temperatures of 33°C and 19°C, respectively; and (3) optimal temperature range and optimal performance temperature of 24°C–28°C and 26°C, respectively. Our rapid and efficient method to determine the thermal tolerance and critical temperature limits of crustaceans, providing a tool for assessing physiological responses to temperature changes and informing aquaculture management.…”
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  8. 1408

    Determination of 17 aldehydes in Baijiu (Chinese liquor) by direct injection gas chromatography by LUO Yue, ZHONG Ciping, HUANG Ping, CHEN Yanmei, TANG Jing, YU Xiaoqin

    Published 2023-12-01
    “…<b>Objective:</b> To explore the content of aldehydes in Baijiu. <b>Methods:</b> A method for the determination of 17 aldehydes in Baijiu was established, and the methodological performance indexes were studied using statistics. …”
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  9. 1409
  10. 1410

    Determination of 11 neonicotinoid insecticides in pet food using LC–MS/MS by Liqiang Guo, Yajing Li, Le Wang, Xiaojie Xu, Kai Li

    Published 2025-07-01
    “…Regression lines with coefficients of determination (r 2) above 0.9990 were obtained for all analytes. …”
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  11. 1411
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  13. 1413

    Analysis Sparse Representation for Nonnegative Signals Based on Determinant Measure by DC Programming by Yujie Li, Benying Tan, Atsunori Kanemura, Shuxue Ding, Wuhui Chen

    Published 2018-01-01
    “…In this paper, we present a novel and efficient analysis dictionary learning algorithm for nonnegative signals with the determinant-type sparsity measure which is convex and differentiable. …”
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  14. 1414
  15. 1415

    GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling by Xin Wang, Changchun Li, Chenyi Zhao, Yinghua Jiao, Hengmao Xiang, Xifang Wu, Huabin Chai

    Published 2025-03-01
    “…Ablation experiments validate the effectiveness of the proposed methods.Compared with classic models such as Faster R-CNN, YOLOv5, YOLOv7, and YOLOv8, the GrainNet model achieves better detection performance and computational efficiency in various scenarios and adhesion levels. …”
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  16. 1416

    Determining The Factors Affecting Fruit Hardness of Different Peach Types with Meta Analysis by Hande Küçükönder, Kazım Kubilay Vursavuş, Fath Üçkardeş

    Published 2014-09-01
    “…The effect sizes in both methods were determined “mid-level” according to the Cohen’s classification. …”
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  17. 1417
  18. 1418

    A Mathematical Model for Determining the Specific Structural Weight of a Tillage Implement by A. I. Derepaskın, А. N. Kuvaev, I. V. Tokarev

    Published 2022-03-01
    “…(Materials and methods) The research methodology is based on mathematical modeling, abstraction, analysis, synthesis, and principles of classical mechanics. …”
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