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Showing 521 - 540 results of 1,052 for search '(( variable friction efficient. ) OR ( variables function coefficient. ))', query time: 0.21s Refine Results
  1. 521

    Analyzing Worn-Out Texture Regeneration from Urban Branding Perspective Using Structural Equation Modeling (SEM) (Case Study: Worn-Out Texture of Shahr-e-Kord) by Dvood Mahdavi, Ali Mohammadi Gojani, Waliullah Nazari

    Published 2024-06-01
    “…Furthermore, the findings demonstrated a strong, positive, and significant influence of the branding variable on the regeneration of the worn-out urban fabric with an impact coefficient of 0.833. …”
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    Article
  2. 522

    THE BONITATION METHOD FOR ASSESSING THE FERTILITY OF THE CHERNOZEM by Mariana BURCEA, Nicoleta OLTENACU

    Published 2019-01-01
    “…Statistical indicators have been determined using the functions from Excel Program, such as: average, standard deviation, coefficient of variability, annual growth rate. …”
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    Article
  3. 523
  4. 524

    Magnetohydrodynamic Maxwell hybrid nanofluid flow and heat transfer over a moving needle in porous media by Rejab Hajlaoui, Amir Abbas, Fizza Anwar, Mohamed Mahdi Boudabous, Alaa Chabir, Walid Hassen, Lioua Kolsi

    Published 2025-06-01
    “…The Maxwell fluid parameter also influences the fluid speed and thermal efficiency of the fluid. Results reflect that the skin friction coefficient reduces and the Nusselt number or heat transfer rate increases with increasing Prandtl number. …”
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    Article
  5. 525

    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
  6. 526

    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
  7. 527

    A fast and simplified subglacial hydrological model for the Antarctic Ice Sheet and outlet glaciers by E. Kazmierczak, T. Gregov, T. Gregov, V. Coulon, F. Pattyn

    Published 2024-12-01
    “…<p>We present a novel and computationally efficient subglacial hydrological model that represents in a simplified way both hard- and soft-bed rheologies, as well as an automatic switch between efficient and inefficient subglacial discharge, designed for the Antarctic Ice Sheet. …”
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    Article
  8. 528

    A Data-Driven Approach Based on Deep Neural Network Regression for Predicting the Compressive Strength of Steel Fiber Reinforced Concrete by Nhat-Duc Hoang, Van-Duc Tran

    Published 2025-04-01
    “…Experimental results show that the L1 regularization helps achieve the most desired performance, with a coefficient of determination (R2) of roughly 0.96. Notably, an asymmetric loss function is used along with Nadam to decrease the percentage of overestimated cases from 50.83% to 27.08%. …”
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    Article
  9. 529

    Optimally controlled heating of solid particles in a fluidised bed with a dispersive flow of the solid by Poświata Artur, Szwast Zbigniew

    Published 2016-03-01
    “…The mixing rate was described by the axial dispersion coefficient. As any economic values of variables describing analysing process are subject to local and time fluctuations, the accepted objective function describes the total cost of the process expressed in exergy units. …”
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    Article
  10. 530

    Importance Analysis of Vegetation Change Factors in East Africa Based on Machine Learning by Zhang Xiumei, Ma Bo, Zhang Yijie

    Published 2023-12-01
    “…The independent treatment variables were two climatic factors and five human activity factors affecting vegetation changes in East Africa. …”
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    Article
  11. 531

    Research on Sealing Performance of Supercritical Hydrogen Cylindrical Seals Based on Multi-Objective Optimization of Spiral Grooves by Xueliang Wang, Zegan Gao, Wei Zhang, Junjie Lu, Min Jiang, Leibo Wu, Xuejing Wu

    Published 2025-07-01
    “…Aimed at hydrogen turbines, this research employs advanced noncontact cylindrical sealing and optimizes its sealing structure to enhance efficiency. Therefore, this paper considers the variable density and viscosity cylindrical sealing model with actual gas effects and explores the impact of groove parameters on load capacity, leakage, and friction force under two different temperature and pressure conditions. …”
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    Article
  12. 532

    Research on optimization strategies of university ideological and political parenting models under the empowerment of digital intelligence by Fan Lv

    Published 2025-03-01
    “…It constructs the no-incentive, cost-sharing, and collaborative cooperation models, respectively, and obtains the optimal trajectories for the degree of effort, the subsidy coefficient, the optimal benefit function, and the digital and intelligent technology stock. …”
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    Article
  13. 533

    Artificial Neural Network (ANN) Modeling of Plasma and Ultrasound-assisted Air Drying of Cumin Seeds by M. Namjoo, M. Moradi, M. A. Nematollahi, H. Golbakhshi

    Published 2025-03-01
    “…Therefore, the wavelet-based neural network (WNN), the multilayer perceptron neural network (MLPNN), and the radial-basis function neural network (RBFNN), as three well-known artificial neural networks models, were used to map the inputs and output data and the results were compared with the Multiple Quadratic Regression (MQR) analysis. …”
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    Article
  14. 534

    Frequency Stability Analysis Based on Full State Model in Autonomous-Synchronization Voltage Source Interfaced Power System by Zhenyao LI, Deqiang GAN, Moude LUAN, Guoqing HE

    Published 2023-05-01
    “…Then, the parameters of the autonomous-synchronization voltage source model are compared with those of the synchronous machine model, and it is proved that the function of the governor is equivalent to increasing the system damping, which can reduce the steady-state error of the system frequency after being disturbed. …”
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    Article
  15. 535

    Assessment of Intrarenal Artery Doppler Resistive Index in Normotensive Patients and Patients with Essential Hypertension by Obinna E. Abonyi, Uloma B. Nwogu, Vitus K. Ika, Julius A. Agbo, Beatrice U. Maduka, Sharonrose O. Nwadike

    Published 2025-07-01
    “…The renal resistive index (RRI) is a useful tool for assessing kidney function in hypertensive patients, but population-specific data are scarce. …”
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    Article
  16. 536

    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
  17. 537

    Words of Mouth on Destination Images and Intentions to Revisit

    Published 2025-04-01
    “…These results highlight the critical function of EWOM in reinforcing positive destination perceptions and encouraging repeat visits. …”
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    Article
  18. 538

    Design of Reinforcement Learning Guidance Law for Antitorpedo Torpedoes by Zhong Wang, Zhiwen Wen, Weitong Cui, Daming Zhou, Pei Wang

    Published 2025-01-01
    “…Integrating engineering design, the intelligent guidance law for antitorpedo torpedoes proposed in this article selects the rate of change in the line-of-sight angle as the state variable, designs a reward function based on interception results, and designs a discretized behavior space based on the commonly used proportional guidance coefficient selection range. …”
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    Article
  19. 539
  20. 540

    Development and optimization of an electrohydrodynamic dehydrator using ANN-GA for improved energy performance by Chakrit Suvanjumrat, Klar Kongsarai, Piyamon Phong-arom, Namnguen Chumphong, Machimontorn Promtong, Jetsadaporn Priyadumkol

    Published 2025-09-01
    “…The diffusion coefficient extracted from the moisture ratio function was used to assess the drying kinetics, while SEC was used to evaluate the energy efficiency of the EHD dehydrator under different parameter settings. …”
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    Article