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    Selecting the Number of Clusters in Mixture Multigroup Structural Equation Modeling by Andres F. Perez Alonso, Jeroen K. Vermunt, Yves Rosseel, Kim De Roover

    Published 2025-03-01
    “…MMG-SEM requires the user to select the optimal number of clusters for the data at hand. …”
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    An Efficient and Accurate Adaptive Time-Stepping Method for the Landau–Lifshitz Equation by Hyundong Kim, Soobin Kwak, Moumni Mohammed, Seungyoon Kang, Seokjun Ham, Junseok Kim

    Published 2024-12-01
    “…This article presents an efficient and accurate adaptive time-stepping finite difference method (FDM) for solving the Landau–Lifshitz (LL) equation, which is an important mathematical model in understanding magnetic materials and processes. …”
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    Radiographic detection of welding defects based on neural ordinary differential equations by Wenyong WU, Hongyu CHENG, Qican ZHANG

    Published 2025-05-01
    “…Aiming at the problems of strong subjectivity, high work load, repetitive tasks, and low efficiency in defects evaluation in the process of radiographic testing (RT), a neural memory ordinary differential equations based residual network model was proposed in this paper, for the objective, accurate, and intelligent classification of weld defects. …”
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    Efficient simulation of plasma physics' time fractional modified Korteweg-de Vries equations. by N S Alharthi

    Published 2025-01-01
    “…In many science and engineering fields, integer-order differential equations are unable to provide a satisfactory explanation for a wide range of phenomena when compared to fractional-order differential equations. …”
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    Effects of supplier selection and supplier monitoring on public procurement efficiency in Tanzania: a cost-reduction perspective by Ismail Abdi Changalima, Ismail Juma Ismail, Alban Dismas Mchopa

    Published 2024-03-01
    “…Purpose – This study aims to examine the role of supplier selection and supplier monitoring in public procurement efficiency in terms of cost reduction in Tanzania. …”
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    Article
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    Multidimensional Comprehensive Evaluation Method for Sonar Detection Efficiency Based on Dynamic Spatiotemporal Interactions by Shizhe Wang, Weiyi Chen, Zongji Li, Xu Chen, Yanbing Su

    Published 2025-06-01
    “…The detection efficiency evaluation of sonars is crucial for optimizing task planning and resource scheduling. …”
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    Optimizing linear/non-linear Volterra-type integro-differential equations with Runge–Kutta 2 and 4 for time efficiency by Martin Ndi Azese

    Published 2024-12-01
    “…A novel non-adaptative time-efficient (TE) numerical scheme based on the Runge–Kutta (RK) algorithm is devised for solving linear and non-linear Volterra-type integro-differential equations (VTIDE) characterized by a specific class of convolution memory, K(t,s)=aκ(t−s), where a,κ∈R. …”
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    Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease by Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Ervin Gubin Moung

    Published 2024-09-01
    “…Background: Coronary heart disease (CHD) remains a prominent cause of mortality globally, necessitating early and accurate detection methods. Traditional diagnostic approaches can be invasive, costly, and time-consuming, necessitating the need for more efficient alternatives. …”
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    Efficient Calculation of Propagation Coefficients in Anisotropic Media Through Transfer Matrix Method Based on Eigenvalue Analysis by Jiuyang Fan, Zhixiang Huang, Xiaoli Feng, Yuxian Zhang

    Published 2025-01-01
    “…Starting from the anisotropic Maxwell’s equations, the governing equation in matrix form is constructed from constitutive relations of the electromagnetic field. …”
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    Comparative analysis of selective gas adsorption on metal-organic frameworks: Cu–(abtc) vs. Cu–(hbtc) by Prudhviraj Medikonda

    Published 2025-01-01
    “…Model parameters were used to calculate the enthalpies of adsorption, and the Ideal Adsorbed Solution Theory was employed to predict the selectivity of binary mixtures. CO2 selectivity over N2 increased significantly with pressure, with higher CO2 selectivity observed for Cu–hbtc compared to Cu–abtc due to the stronger affinity of the functional group and framework–adsorbate interactions. …”
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    BurgsVO: Burgs-Associated Vertex Offset Encoding Scheme for Detecting Rotated Ships in SAR Images by Mingjin Zhang, Yaofei Li, Jie Guo, Yunsong Li, Xinbo Gao

    Published 2025-01-01
    “…Specifically, the Burgs equation module integrates temporal information with spatial data for effective feature aggregation, establishing a strong foundation for subsequent object detection. …”
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