Investigating fluctuation varieties in the propagation of the perturbed KdV equation with time-dependent perturbation coefficient by Marwan Alquran

“…By assigning various functional forms such as periodic, polynomial, and decaying exponential, to the proposed time-dependent coefficient, novel solitary wave patterns of types like-breather, regular(singular)-bell shaped, and periodic solutions are emerged with fluctuations. …”
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Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy by Guohua Wu, Witold Pedrycz, Haifeng Li, Dishan Qiu, Manhao Ma, Jin Liu

“…We propose a knowledge-based variable reduction strategy (VRS) that can be integrated into EAs to solve unconstrained and first-order derivative optimization functions more efficiently. …”
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Regional Variability in Growth and Leaf Functional Traits of <i>Mitragyna speciosa</i> in Thailand by Suthaporn Chongdi, Suwimon Uthairatsamee, Chatchai Ngernsaengsaruay, Tushar Andriyas, Nisa Leksungnoen

“…This study examined the leaf functional traits associated with kratom’s growth in the southern (native habitat), central, and northeastern regions of Thailand. …”
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ResPoNet: A Residual Neural Network for Efficient Valuation of Large Variable Annuity Portfolios by Heng Xiong, Jie Xu, Rogemar Mamon, Yixing Zhao

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Full linearization of nonlinear flow control valves via variable gear ratio design by Thitipun Thongnueakhaeng, Tawat De Haas, Thananchai Leephakpreeda

“…Abstract The paper proposes the full linearization of nonlinear characteristics of flow control valves via variable gear ratio design. The inherent nonlinear function of the normalized valve capacity coefficients to the percentages of valve opening is derived from flow experiments. …”
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Modeling creep for a closed cylindrical shell under hydrostatic pressure by M. A. Magomedov, V. V. Kuznetsov, B. M. Yazyev, S. V. Litvinov

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An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions by Mohammad Masjed-Jamei

“…In this direction, some new concepts, such as p-covariances with respect to a fixed variable, p-correlation coefficients with respect to a fixed variable, and p-uncorrelatedness with respect to a fixed variable, are defined in order to establish least p-variance approximations. …”
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Variable convergence train noise active control algorithm based on feedforward reference by LI Tao, HE Yuyao, WANG Ning, LI Zhuang, SHEN Zhaoyuan, XIAO Gang

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Application of the Complex Variable Function Method to SH-Wave Scattering Around a Circular Nanoinclusion by Hongmei Wu

“…This paper focuses on analyzing SH-wave scattering around a circular nanoinclusion using the complex variable function method. The surface elasticity theory is employed in the analysis to account for the interface effect at the nanoscale. …”
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Predicting filtration coefficient and formation damage coefficient for particle flow in porous media using machine learning by Xuejia Du, George K. Wong

“…The clogging of porous media with solid particle suspension flow is modeled using two empirical parameters of filtration coefficient (λ) and formation damage coefficient (β). …”
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A Novel High-Efficiency Variable Parameter Double Integration ZNN Model for Time-Varying Sylvester Equations by Zhe Peng, Yun Huang, Hongzhi Xu

“…In this paper, a High-Efficiency Variable Parameter Double Integration Zeroing Neural Network (HEVPDIZNN) model combining variable parameter function and double integration is proposed to solve the time-varying Sylvester matrix equations, using the decreasing function with a large initial value as the variable parameter. …”
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Influence of Tokar Gap wind jet on latent heat flux of Central Red Sea: empirical orthogonal function approach by Jamaan A. Turki, Abdullah M. Al-Subh, Fawaz Madah

“…The empirical orthogonal functions (EOF) analysis method was used to determine the modes of LHF variabilities. …”
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Secure mobile agents for efficient medical information retrieval: A verifiable variable threshold secret sharing approach. by Pradeep Kumar, Sur Singh Rawat, Kakoli Banerjee, Ayodeji Olalekan Salau, Gyanendra Kumar, Niraj Singhal

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A Case Study on the Influence of Friction Coefficient and Rotational Speed on Transient Thermoelastic Response of FGM Rotating Cylinder by Reza Koohi Faegh Dehkourdi, Mostafa Omidi Bidgoli, Mohammad Hosseini

“…The material property is assumed to be variable along radius according to a volume fraction distribution. …”
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Estimated Glomerular Filtration Rate Variability and Incident Heart Failure in Adults With Type 2 Diabetes by Arnaud D. Kaze, MD, MPH, Chiadi E. Ndumele, MD, PhD, Bernard G. Jaar, MD, MHS, Prasanna Santhanam, MBBS, MD, Beeletsega T. Yeneneh, MD, MS, Farouk Mookadam, MD, Roderick Tung, MD, Gregg C. Fonarow, MD, Deidra C. Crews, MD, ScM, Justin B. Echouffo-Tcheugui, MD, PhD

“…Background: Variability in kidney function, as measured by estimated glomerular filtration rate (eGFR), has been proposed as a novel risk factor for adverse cardiovascular outcomes. …”
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High-efficient RPL routing for analyzing mobility of nodes by Huibin XU

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Selection of Functional Diagram of Air Multi-Compressor Control System by Roman Kokoshko, Oleksandr Kril, Bohdan Kril

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Multi-energy storage SoC equilibrium strategy based on the variable regulating factor by CHEN Jingwen, LIU Jiaxin, ZHANG Wenqian

“…In view of the overcharge and over-discharge of individual energy storage units due to differences in the state of charge (SoC), rated capacity and line impedance of the microgrid multi-energy storage units, which will affect its service life and make the stability adjustment ability of the microgrid deteriorate, this paper proposes a multi-energy storage SoC dynamic balance strategy based on the variable regulating factor. The arccotangent function is used to associate the droop coefficient with SoC and rated capacity, and the virtual voltage drop compensation link is introduced to achieve the balance of multiple sets of energy storage SoC. …”
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DBEM solutions to modified Helmholtz problems for FGMs of space–time-dependent properties by Mohammad Ivan Azis

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Continuous-Variable Quantum Key Distribution Protocol Based on Post-Selection by Hao YU, Bao FENG, Zichun PAN, Wenhe ZHUO, Zhenwei LI

“…Compared with discrete-variable quantum key distribution (DVQKD) protocol that has been widely used in power system, the continuous-variable quantum key distribution (CVQKD), which uses continuous variables to perform QKD protocol, has such advantages as simple equipment, high detection efficiency and good compatibility, and has attracted wide attentions. …”
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