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Showing 621 - 640 results of 1,052 for search '(( variable friction efficient. ) OR ( variable function (coefficient. OR coefficiency.) ))*', query time: 0.21s Refine Results
  1. 621

    A comprehensive assessment of physical image quality of five different scanners for head CT imaging as clinically used at a single hospital centre-A phantom study. by Patrizio Barca, Fabio Paolicchi, Giacomo Aringhieri, Federica Palmas, Daniela Marfisi, Maria Evelina Fantacci, Davide Caramella, Marco Giannelli

    Published 2021-01-01
    “…An appreciable difference in MTF curves across scanners/acquisition protocols was revealed, with a coefficient of variation of f50%/f10% of MTF curves across scanners/acquisition protocols of 10.1%/7.4%. …”
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    Article
  2. 622

    Research and development of thick plate shape prediction system based on industrial big data by Yufei MA, Changxin LIU, Wei KONG, Jinliang DING

    Published 2021-09-01
    “…Thick plate shape is one of the important indicators to measure the quality of thick plate products.The timely prediction of the final plate shape in production is of great significance for adjusting the operation and control of thick plate production.In actual industrial production, thick plate data has many characteristics, such as multiple coupling information, large amount of redundant information, and multi-source heterogeneity of data.Combining the needs of thick plate shape prediction, a thick plate shape prediction system was designed and developed.The data dump function was used to filter and preprocess the industrial big data to remove the coupling information and redundant variables in the data.LSTM neural network, convolutional neural network and 3D convolutional neural network were used to extract data features from data of different dimensions, and the features were fused based on the maximum mutual information coefficient to establish an integrated learning prediction model, which effectively solved the modeling difficulties caused by multi-source heterogeneous data.The actual industrial data of a domestic thick plate production line was used for verification, and the results showed the effectiveness of the developed system.…”
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    Article
  3. 623

    DP600 Steel Stampability Analysis Through Microstructural Characterization by Electron Backscatter Diffraction and Nanoindentation by Rafael Guetter Bohatch, Alex Raimundo de Oliveira, Chetan P. Nikhare, Ravilson Antonio Chemin Filho, Paulo Victor Prestes Marcondes

    Published 2025-07-01
    “…Different regions of a stamped component, such as the flange, the body wall, and the punch pole, are subjected to different states of stress and deformation, determined by numerous process variables, such as friction/lubrication and tool geometry, in addition to blank holder force and drawbead geometry, which induce the material to different deformation modes. …”
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    Article
  4. 624

    The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades by PAN Cheng-yi, WEI Wen-long, ZHANG Chun-yi

    Published 2019-08-01
    “…The analysis result shows that the blade reliability indexes decrease with the increase of fuzzy coefficient. Compared with the traditional method based on random variables, this method is more reasonable for the description of uncertainty, and the evaluation of reliability is more accurate theoretically.…”
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  5. 625

    Extension of the First-Order Recursive Filters Method to Non-Linear Second-Kind Volterra Integral Equations by Rodolphe Heyd

    Published 2024-11-01
    “…In addition, this new approach extends for the first time the field of use of first-order recursive filters, usually restricted to the case of linear ordinary differential equations (ODEs) with constant coefficients, to the case of non-linear ODEs with variable coefficients. …”
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    Article
  6. 626

    Numerical Analysis of the Preloading Consolidation of the Soft Foundation with a Plastic Drainage Plate by Linjie Li, Shuaidong Yang, Tong Su

    Published 2021-01-01
    “…The permeability coefficient and void ratio are related to the stress state of the soil, which manifests as the temporal and spatial variability of consolidation. …”
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    Article
  7. 627

    Sensitivity analysis of melting heat transfer in Williamson fluid by Aliya Batool, Zakir Hussain, Dilawar Hussain

    Published 2025-09-01
    “…The model is simplified to ordinary differential equations by introducing similarity variables and tackled by bvp4c Matlab function. The significant variables on flow model are identified by Response Surface Method (RSM). …”
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    Article
  8. 628
  9. 629

    Serum Glycated Albumin Levels Are Affected by Alcohol in Men of the Jinuo Ethnic Group in China by Chaoyu Zhu, Xuhong Hou, Ming Li, Qingyi Sun, Huijuan Lu, Yuqian Bao, Li Wei, Weiping Jia, Fusong Jiang

    Published 2021-01-01
    “…Lifestyle information was gathered by using a questionnaire, and measurements of blood pressure, body mass index, blood glucose level, liver function, and kidney function were collected. GA was measured by using an enzymatic method. …”
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    Article
  10. 630

    Evaluation of the Characteristics of Short Acquisition Times Using the Clear Adaptive Low-Noise Method and Advanced Intelligent Clear-IQ Engine by Ryosuke Ogasawara, Akiko Irikawa, Yuya Watanabe, Tomoya Harada, Shota Hosokawa, Kazuya Koyama, Keisuke Tsuda, Toru Kimura, Koichi Okuda, Yasuyuki Takahashi

    Published 2025-06-01
    “…The images were evaluated based on the coefficient of variation, recovery coefficient, % background variability (N<sub>10mm</sub>), % contrast-to-% background variability ratio (Q<sub>H10mm</sub>/N<sub>10mm</sub>), and contrast-to-noise ratio. …”
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    Article
  11. 631

    Crop classification with deep convolutional neural network based on crop feature by Mohamad Reza Gili, Davoud Ashourloo, Hosein Aghighi, Ali Akbar Matkan, Alireza SHakiba

    Published 2022-12-01
    “…Due to the spectral overlap of the crops in some time periods, network training was associated with a relatively high loss and therefore, for the test area, the overall classification accuracy was 69% (percent) and the kappa coefficient was 0.55. In the next step, the functions that were developed as phenological features for crops were applied on the time series of the bands, and for each crop, a feature channel was obtained as the special feature of that crop. …”
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  12. 632

    Gas Transfer Across Air‐Water Interfaces in Inland Waters: From Micro‐Eddies to Super‐Statistics by Gabriel Katul, Andrew Bragg, Ivan Mammarella, Heping Liu, Qi Li, Elie Bou‐Zeid

    Published 2024-11-01
    “…As the coefficient of variation CVe in ϵ increases, αo must be adjusted by a multiplier 1+CVe2−3/32 that was derived from a log‐normal model for the probability density function of ϵ. …”
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  13. 633

    Polarization scattering-based detection of lubricating materials by Xin Liu, Junxin Jian, Xiaolu Huang, Huilong Li, Yuan Tian, Weizhi Ma, Xiaolong Zhao, Zunnian Liu, Jiayi Sun, Xiushuo Zhang, Yong Wang, Xiaomei Zhu

    Published 2025-04-01
    “…Friction, wear, and corrosion are common phenomena in both industrial and daily life, significantly impacting the performance, lifespan, and energy efficiency of equipment. …”
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  14. 634

    Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network by Tu Jie, Liu Qijing, Wei Jun, Hu Liang

    Published 2015-03-01
    “…Therefore, quantitative research on tree water consumption characteristics by transpiration has become a hot issue in the field of tree physiological ecology in recent years.Taking the C. lanceolata plantation in degraded red soil of Jiangxi Province as the research object, the log-sigmoid type function (tansig) of MATLAB toolbox was selected as the transmission function for the role of neurons. …”
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  15. 635

    Evaluation of the Wind-Resistant Performance of Long-Span Cable-Stayed Bridge Using the Monitoring Correlation between the Static Cross Wind and Its Displacement Response by Gaoxin Wang, Youliang Ding, Dongming Feng, Jihong Ye

    Published 2018-01-01
    “…Third, considering that the traditional function cannot match the monitoring correlation very well, some new fitting functions are thoroughly studied to determine the best function for fitting the monitoring correlation. …”
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    Article
  16. 636

    Translation and validation of Gujarati version of Indian HAQ in RA patients by Jaspreet Kaur Kang, Neeta J Vyas

    Published 2022-01-01
    “…Results: Internal consistency of each item was evaluated by Cronbach's alpha and the Construct validity was evaluated by determining Spearman's correlation between the Gujarati Indian HAQ score and disease activity variables. Reliability testing showed an intraclass coefficient for HAQ of 0. 848. …”
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  17. 637

    Analysis of fuzzy TOPSIS Method in Determining Priority of Small Dams Construction by Desyta Ulfiana, Suharyanto Suharyanto

    Published 2019-10-01
    “…The first step was determining membership function and weighting each criteria. Then, TOPSIS method was applied to ranked eight alternatives. …”
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  18. 638

    Experimental Study and Damage Model Study of Rock Salt Subjected to Cyclic Loading and Cyclic Creep by Baoyun Zhao, Tianzhu Huang, Liu Dongyan, Dongsheng Liu, Yang Liu, Xiaoping Wang

    Published 2020-01-01
    “…The damage model is obtained by inverse functioning the s function, and then the correction coefficient is added to the model to obtain the modified damage model. …”
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    Article
  19. 639

    Experimental Studies of Heat and Moisture Exchange in the Process of Convective Drying of Thin Wet Materials by A. I. Ol’shanskii, S. V. Zhernosek, A. M. Gusarov

    Published 2018-12-01
    “…New ways of experimental data processing by generalized complex variables that are characteristic of the drying process are presented. …”
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    Article
  20. 640

    Reverse Active Modification Method of Tooth Profile for RV Reducer Cycloidal Gear by Xiaotao An, Tianxing Li, Chunrong Xing, Guofeng Wang, Meng Tian

    Published 2019-09-01
    “…></graphic></alternatives></inline-formula> of the parabolic modification method are taken as the modification variables of the tooth profile, and the mathematical model of the reverse modification of the tooth profile is established with the minimum transmission error as the objective function. …”
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    Article