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Showing 481 - 500 results of 1,052 for search '(( variable friction efficient. ) OR ( variable function coefficiency. ))*', query time: 0.15s Refine Results
  1. 481

    Predictive Modeling and Optimization of Hot Forging Parameters for AISI 1045 Ball Joints Using Taguchi Methodology and Finite Element Analysis by Naiyanut Jantepa, Nattarawee Siripath, Surasak Suranuntchai

    Published 2024-10-01
    “…The ANOVA revealed that the billet temperature played a significant role in influencing the preforming force, finishing force, and mean stress, with a maximum impact of 62.30%, 59.50%, and 94.20% on the variation in the response variable, respectively. Additionally, the friction factor significantly affected the preforming and finishing forces, contributing 36.19% and 38.28%. …”
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    Article
  2. 482

    Explaining the COVID19 mortality growth rate: an empirical analysis of Israeli cities by Yuval Arbel, Yifat Arbel, Amichai Kerner, Miryam Kerner, Miryam Kerner

    Published 2025-07-01
    “…These include population size, median age, a socio-economic ranking at a city level, a date variable and a dummy variable that equals 1 for post-vaccination and 0 for pre-vaccination era.MethodRegression analysis, where each variable is converted to the standard normal distribution function. …”
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    Article
  3. 483

    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
  4. 484

    A Novel Technique for Transmission of M-Ary Signal through Wireless Fading Channel Using Wavelet Denoising by Md. Zahangir Alam, Charles Chittaranjan Patra, Colin Patra, M. Abdus Sobhan

    Published 2011-01-01
    “…The result of the simulation study reveals that the BER performance can be increased using an appropriate control variable to force the mean of each detail coefficient to zero.…”
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    Article
  5. 485

    Research and Development Expenditures and Economic Growth in the EU: A Panel Data Analysis by Freimane Rita, Bāliņa Signe

    Published 2016-08-01
    “…The estimated model is the production function type standard growth model extended with R&D stock variable. …”
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    Article
  6. 486

    On the Global Practical Exponential Stability of <i>h</i>-Manifolds for Impulsive Reaction–Diffusion Cohen–Grossberg Neural Networks with Time-Varying Delays by Gani Stamov, Trayan Stamov, Ivanka Stamova, Cvetelina Spirova

    Published 2025-02-01
    “…The established criteria are less restrictive for the variable domain and diffusion coefficients. The effect of some uncertain parameters on the stability behavior is also considered and a robust practical stability analysis is proposed. …”
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    Article
  7. 487

    Selected Aspects of Heat Transfer Study in a Gun Barrel of an Anti-Aircraft Cannon by Mateusz ZIELIŃSKI, Piotr KONIORCZYK, Zbigniew SURMA, Marek PREISKORN, Judyta SIENKIEWICZ

    Published 2023-06-01
    “…In each zone, the heat transfer coefficient, as a function of the time hi(t) and bore gas temperature as a function of the time Tg(t) to the cannon barrel for given ammunition parameters, was developed. …”
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    Article
  8. 488

    Towards the Understanding of Damage Mechanism of Cemented Tailings Backfill by Haijun Wang

    Published 2021-01-01
    “…The CTB damage constitutive model, which takes the corrected coefficient of damage variable into consideration, and peak toughness are introduced to investigate the effects of fine tailings contents, curing ages, curing temperatures, and water-to-cement ratios (w/c) on the damage evolution laws, damage (DP), and specific energy (GP) at peak stress point of CTB. …”
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  9. 489

    Similarity Solutions for Multiterm Time-Fractional Diffusion Equation by A. Elsaid, M. S. Abdel Latif, M. Maneea

    Published 2016-01-01
    “…Based on the obtained results, we propose a definition for a multiterm error function with generalized coefficients.…”
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    Article
  10. 490

    SMART Based Multi-Point Matching Assisted Approximation of Renewable Interconnected Power System by Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu

    Published 2025-01-01
    “…For the error minimization, objective function is framed. The objective function is then converted in the form of weighted objective function by employing SMART based weight determination approach. …”
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    Article
  11. 491

    Two‐dimensional echocardiographic right heart ratios for assessment of right heart size in dogs: Reference intervals and reproducibility by Jacqueline N. Sankisov, Lance C. Visser, Kate E. Davis, June A. Boon, Evan S. Ross, Abigail C. Laws

    Published 2024-11-01
    “…Conclusions and Clinical Importance Reference intervals for simple body weight‐independent right heart ratios are available to help detect abnormalities of right heart size and function. Reproducibility coefficients might be useful to help identify meaningful changes in right heart size during serial evaluations.…”
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  12. 492

    Predicting the Cetane Number of Biodiesel using two AI-Models: the Gradient-based ANN and ANN Optimized by Genetic Algorithm by Hadis Tanha, Fatemeh Bashipour

    Published 2024-04-01
    “…The learning function, transfer function, number of hidden layers, and number of neurons in the hidden layers are some of the optimized parameters in the current AI-models. …”
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  13. 493

    Arbitrary finite spectrum assignment and stabilization of bilinear systems with multiple lumped and distributed delays in state by Vasilii Zaitsev, Inna Kim

    Published 2025-03-01
    “…One needs to construct control vectors such that the characteristic function of the closed-loop system is equal to a polynomial with arbitrary given coefficients. …”
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  14. 494

    THE CORRELATION BETWEEN TOURISM ACCOMMODATION CAPACITY AND TOURIST INFLOW BY MICRO REGION OF DEVELOPMENT IN ROMANIA by Agatha POPESCU

    Published 2016-01-01
    “…In this purpose, the data provided by the National Institute of Statistics were processed using the indices with fixed and variable basis, comparison method, statistical parameters, Pearson coefficient of correlation, and linear regression function. …”
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  15. 495

    Elastic Stress and Plastic Zone Distributions around a Deeply Buried Tunnel under the Nonhydrostatic Pressure by Shuhong Liu, Jinlu Fan, Chenhao Wu, Yongquan Zhu

    Published 2022-01-01
    “…Based on Muskhelishvili’s complex variable function, the analytical solution for the elastic stress around a deeply buried noncircular tunnel under the nonhydrostatic pressure is firstly derived. …”
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  16. 496

    Cardio-Ankle Vascular Index and Indices of Diabetic Polyneuropathy in Patients with Type 2 Diabetes by Akihiko Ando, Michiaki Miyamoto, Kazuhiko Kotani, Kenta Okada, Shoichiro Nagasaka, Shun Ishibashi

    Published 2017-01-01
    “…The cardio-ankle vascular index (CAVI) is used to test vascular function and is an arterial stiffness marker and potential predictor of cardiovascular events. …”
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  17. 497

    Thermal performance analysis of magnetohydrodynamic Al2O3-SiO2-TiO2/water ternary hybrid nanofluid in converging and diverging channels with nanoparticle shape effects by C.M. Mohana, B. Rushi Kumar, Sunitha Nagarathnam, I.S. Shivakumara

    Published 2024-12-01
    “…Platelet-shaped nanoparticles demonstrate lower skin friction in divergent channels, whereas spherical nanoparticles exhibit higher skin friction; this trend reverses in convergent channels. …”
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    Article
  18. 498
  19. 499

    Research and application on megawatt level intelligent fracturing pump system in coal mine by Ran LI, Chuliang WANG, Bo LIU, Yanjun FENG, Pengfei JIANG, Rongming CHEN, Jingbin CHEN, Zhuo CHEN, Dalong WANG, Haicheng LU, Zongkai GUO, Tianze CAO, Yuanzheng YU, Chao WANG

    Published 2025-05-01
    “…The research included: Development of high-strength, erosion-resistant martensitic precipitation hardening stainless steel suitable for extreme conditions with large flow, ultra-high pressure, and sand-mixed media, along with ultra-high pressure self-reinforcing treatment to enhance the fatigue life of the hydraulic ends of fracturing pumps; Investigation of critical reliability technologies, including high-strength welding for alloy steel, high-load-bearing, high-power-to-weight ratio gear transmission technology, and wear-resistant friction pairs of aluminum bronze alloy-cast iron, to ensure the reliability of the transmission system under high-power conditions; Creation of a high-durability metal plunger-combination seal fracturing fluid sealing pair, with the application of computer simulation technologies such as virtual prototyping, FEA, CFD, and hydraulic system simulation to optimize the structure, performance, and reliability of the fracturing pump’s fluid end suction and discharge systems; Mastery of technologies such as low-frequency variable flow sealing for deep boreholes, automatic identification of coal and rock layer fracturing, and cyclic fracturing control, enabling intelligent control throughout the fracturing process. …”
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  20. 500

    A New Legendre Collocation Method for Solving a Two-Dimensional Fractional Diffusion Equation by A. H. Bhrawy

    Published 2014-01-01
    “…A new spectral shifted Legendre Gauss-Lobatto collocation (SL-GL-C) method is developed and analyzed to solve a class of two-dimensional initial-boundary fractional diffusion equations with variable coefficients. The method depends basically on the fact that an expansion in a series of shifted Legendre polynomials PL,n(x)PL,m(y), for the function and its space-fractional derivatives occurring in the partial fractional differential equation (PFDE), is assumed; the expansion coefficients are then determined by reducing the PFDE with its boundary and initial conditions to a system of ordinary differential equations (SODEs) for these coefficients. …”
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