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    New Definition of Ultrafine Particles in Mine Paste and Its Relationship with Rheological Properties by Jincheng Xie, Dengpan Qiao, Runsheng Han, Tao Deng, Jun Wang

    Published 2021-01-01
    “…In this study, through experiments and correlation analysis, it was found that the content of ultrafine particles is positively correlated with the plastic viscosity of the mine backfill paste, and its growth range is exponential. The coarse aggregate content is positively correlated with the yield stress of the mine backfill paste. …”
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    Variable Rate Technology and Its Application in Precision Agriculture by Vivek Sharma, Uday Bhanu Prakash Vaddevolu, Shiva Bhambota, Yiannis Ampatzidis, Haimanote Bayabil, Aditya Singh

    Published 2025-01-01
    “… The main aim of this publication is to discuss the concept of variable rate technology (VRT), and its components associated with variable rate application of water, fertil­izer, and other agricultural inputs. …”
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    Monte Carlo Alpha Iteration Algorithm for a Subcritical System Analysis by Hyung Jin Shim, Sang Hoon Jang, Soo Min Kang

    Published 2015-01-01
    “…The α-k iteration method which searches the fundamental mode alpha-eigenvalue via iterative updates of the fission source distribution has been successfully used for the Monte Carlo (MC) alpha-static calculations of supercritical systems. …”
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    Methodology for Assessing the Global Aggregate Demand for Digital Resources and Its Growth Rate Based on the Intersectoral Balance Model by I. A. Zubritskaya

    Published 2023-12-01
    “…Based on the intersectoral balance model, a methodology has been developed, indicators and formulas have been proposed for calculating the global aggregate demand for digital resources and its growth rate. The methodology was tested using the dynamic series of the proposed economic indicators based on empirical data from the intersectoral balances of the Organization for Economic Cooperation and Development countries and the Republic of Belarus.…”
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    Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

    Published 2024-04-01
    “…These approaches allow the loss function to more accurately converge in the neighborhood of the global minimum in a smaller number of iterations. The utilization of transformed positive-negative moment estimates and an additional parameter that controls the step size allows one to avoid local extremes for achieving higher performance, compared to similar methods. …”
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