Study of kinetic performance effect on wheel and rail wear using computer simulation by Lev I. Evelson, Evgeny A. Pamfilov, Alexander G. Tsygankov, Ludmila I. Shiryaeva

“…The problems solved here are analysis of the earlier proposed mathematical functions describing the kinetic performance for the presence of extremes, the functional behavior (growth, decrease, monotonicity, and unimodality, etc.) in various parameter ranges; implementation of the computer simulation of the wheelpair movement by rail with the quantitative estimation of the wheel and rail wear with various kinetic performance parameters; to determine qualitative influence patterns of the kinetic wear performance. …”
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Impacts of high viscosity variation and internal heating on mantle convection in different aspect ratio cells by Tania S. Khaleque, Md. Shafiul A. Khan, Romana Yesmin

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Improving the Dynamics of an Electrical Drive Using a Modified Controller Structure Accompanied by Delayed Inputs by Konrad Urbanski, Dariusz Janiszewski

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Nonparametric Estimation Method for the Distribution Function Using Various Types of Ranked Set Sampling by Ramy Ghareeb, Rikan AL khalidi

“…Also, when  is used to analyze  data, it takes advantage of the reduced variability within each ranked set, resulting in more precise and reliable regression function estimates. …”
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Variable thermal conductivity effects on MHD flow of non-Newtonian ternary hybrid nanofluid between rotating disks, A Cattaneo–Christov heat transfer analysis by Hussan Zeb, Kamal Shah, Manar Alqudah, Thabet Abdeljawad

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A Method of Finding Source Function for Inverse Diffusion Problem with Time-Fractional Derivative by Vildan Gülkaç

“…The inverse problem is with variable coefficients and initial and boundary conditions. …”
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ESTIMATING AND ANALYZING THE FUNCTIONS OF THE IMPORTS OF STRATEGIC CROPS IN SOME DEVELOPING COUNTRIES FOR THE PERIOD (1980-2010) by Kays Ghazal, Mohammad Subhi Al-Mashhadani

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Gut Microbiome Diversity and Uric Acid in Serum and Urine by Cecilie Ness, Dmitri Svistounov, Marit D. Solbu, Natalia Petrenya, Neoma Boardman, Kirsti Ytrehus, Trond G. Jenssen, Andrew Holmes, Stephen J. Simpson, Svetlana N. Zykova

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On the Inverse Problem of the Fractional Heat-Like Partial Differential Equations: Determination of the Source Function by Gülcan Özkum, Ali Demir, Sertaç Erman, Esra Korkmaz, Berrak Özgür

“…The study in this paper mainly concerns the inverse problem of determining an unknown source function in the linear fractional differential equation with variable coefficient using Adomian decomposition method (ADM). …”
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Global Asymptotic Stability of Impulsive CNNs with Proportional Delays and Partially Lipschitz Activation Functions by Xueli Song, Jigen Peng

“…This paper researches global asymptotic stability of impulsive cellular neural networks with proportional delays and partially Lipschitz activation functions. Firstly, by means of the transformation vi(t)=ui(et), the impulsive cellular neural networks with proportional delays are transformed into impulsive cellular neural networks with the variable coefficients and constant delays. …”
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Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions by S. Sowmya, M. Saimurugan, Naveen Venkatesh

“…Rotational machines under variable speed conditions often confront challenges to diagnose various component faults as an existing problem with less exploration of sound signals in this subject area. …”
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Rapid Classification of Milk Using a Cost-Effective Near Infrared Spectroscopy Device and Variable Cluster–Support Vector Machine (VC-SVM) Hybrid Models by Eleonora Buoio, Valentina Colombo, Elena Ighina, Francesco Tangorra

“…This approach provides the dairy industry with a practical, simple and efficient solution to quickly identify skimmed, semi-skimmed and whole milk and detect potential fraud.…”
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Population pharmacokinetics modelling for clinical dose adjustment of carboplatin in dogs by Jérémy Béguin, Sarra Mahfoudhi, Marie Uzel, Antoine Rostang, Catherine Ibish, Aude A. Ferran, Ludovic Pelligand, Anne Hulin, Matthias Kohlhauer

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P-GELU: A Novel Activation Function to Optimize Whisper for Darija Speech Translation by Maria Labied, Abdessamad Belangour, Mouad Banane

“…Activation functions play a critical role in optimizing deep learning models, directly influencing gradient flow, convergence stability, and overall translation accuracy. …”
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Impact of Cattaneo-Christov heat and surface temperature on viscoelastic non-newtonian micropolar nanofluids: Darcy exponential sheet flow with planktonic microorganisms by Muhammad Waseem, Ihab Omar, Muhammad Jawad, Taoufik Saidani, Qasem M. Al-Mdallal

“…This paper investigates the influence of chemical reactions and variable magnetic field on three dimensional Oldroyd B micropolar nanofluids subjected to exponentially stretching sheet in the presence of motile microbes. …”
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Employing Novel Ranking Function for Solving Fully Fuzzy Fractional Linear Programming Problems by Israa H. Hasan, Iden H. Al Kanani

“…This paper proposes a novel ranking function technique with variables of type decagonal fuzzy numbers for solving fully fuzzy fractional linear programming (FFFLP) problems. …”
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Two-dimensional Elasticity Solutions For Analyzing Free Vibration Of Functionally Graded Porous Beams by Quoc-Cuong Le, Ba-Duy Nguyen

“…Furthermore, microvoids can emerge as a result of technical issues during the manufacture of functionally graded materials (FGMs), leading to the development of porosities. …”
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Investigation of influence of objective function valley ratio on the determination error of its minimum coordinates by A. V. Smirnov

“…A special test function was used in numerical experiments to model valleys with variables across wide ranges of parameters. …”
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Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China. by Ya-Nan Ma, Jing Wang, Guang-Hui Dong, Miao-Miao Liu, Da Wang, Yu-Qin Liu, Yang Zhao, Wan-Hui Ren, Yungling Leo Lee, Ya-Dong Zhao, Qin-Cheng He

“…Predictive equations used multiple linear regression techniques with three predictor variables: height, age and weight. Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). …”
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Examining the Impact of Variations in Executive Functions on Students’ Problem-Solving Behaviors by Tongxi Liu

“…Although learning variability is increasingly acknowledged, empirical research exploring the direct relationship between executive functions and problem-solving strategies remains limited. …”
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