An efficient dynamic reliability method for maglev vehicle-bridge systems and its application in random controller parameters analysis by Lidong Wang, Qingrong Li, Xun Zhang, Xiumeng Bu, Peng Hu, Yan Han

“…This article presents an efficient method for analyzing the dynamic reliability of maglev vehicle-bridge coupled systems by combining a theoretical model with an adaptive surrogate model and the probability density evolution method (PDEM). …”
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Efficiency of the Original Methods of Using Medicines and Early Enteral Nutrition in the Complex Treat­ Ment of Patients with Acute Pancreatitis by Andryushchenko V., Andryushchenko D., Kunovsky V., Mahlovany V.

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A High-Efficient Modeling Method for Aerodynamic Loads of an Airfoil with Active Leading Edge Based on RFA and CFD by Shengyong Fang, Sheng Zhang, Jinlong Zhou, Weidong Yang

“…Comparative results reveal that the developed model can calculate the aerodynamic loads of an airfoil with an active leading edge accurately and efficiently when applied appropriately. The modeling method can be used in aerodynamic load calculations and the aeroelastic coupling analysis of a rotor with active control devices.…”
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Spatio-temporal variations in carbon sources, sinks and footprints of cropland ecosystems in the Middle and Lower Yangtze River Plain of China, 2013–2022 by Jing Kong, Yisong Li

“…Hence, this study was conducted with the help of carbon emission coefficient method. It investigated the spatio-temporal variations of carbon sources, sinks and carbon footprints of cropland ecosystems in this plain from 2013 to 2022. …”
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Analytical and numerical investigations of slip flow in a Jeffery-Hamel configuration within a converging microchannel incorporating a step variation in wall temperature and the ef... by Elhoucine Essaghir, Youssef Haddout, Mustapha Darif, Abdelaziz Oubarra, Jawad Lahjomri

“…Numerical validation is performed using a second-order finite difference method, showing a high agreement with a maximum deviation error <0.2 %, confirming the accuracy of both methodologies in efficiently resolving the singularity. …”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

“…In order to identify the nonlinear classification of bearing fault features more accurately， a fault identification method based on IFOA-SVM is proposed. Firstly， the variational mode decomposition method is used to decompose the vibration signals of the bearing， and the fuzzy approximate entropy and energy entropy of the modal component is used to form fault characteristics. …”
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Methodology of expert evaluation of effectiveness of methods of organizational diagnostics by T. V. CHIBIKOVA

“…The technique of an estimation of efficiency of methods of organizational diagnostics is offered. …”
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A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations by Rafah Ibraheem Jabbar, Saad Mekhilef, Marizan Mubin, Obaid Alshammari, Ahmed Kazaili

“…This study proposes a MPP tracking (MPPT) method based on improved water cycle optimization for fast-tracking the GMPP under PS conditions, along with a new strategy to enhance the convergence speed of the MPPT method during load variations. …”
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Quantifying fracture process zone evolution in magnesium-based wood-like material: Analysis based on digital image correlation and variation factor method by Chunjie Li, Jun Cai, Xingrong Chen, Johnny F.I. Lam, Hongniao Chen

“…VFM achieves < 2.14 % deviation from conventional methods while significantly improving computational efficiency. …”
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High variation in Eastern Whip-poor-will home-range size and shape limits the effectiveness of one-size-fits-all habitat protection methods by Alicia M Korpach, Valerie von Zuben, Kevin C Fraser, Christina M. Davy

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Approximate methods for solving local fractional integral equations by Hassan Kamil Jassim

“…This paper presents new analytical approximate methods such as local fractional variational iteration method and local fractional decomposition method for a family of the linear and nonlinear integral equations of the second kind within local fractional derivative operators. …”
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An Adaptive Local Time-Stepping Method Applied to Storm Surge Inundation Simulation by Pubing Yu, Tao Ji, Xiuguang Wu, Yifan Chen, Guilin Liu

“…By dynamically monitoring the variation in the proportion of dry/wet cells during the simulation, the method adaptively adjusts the maximum local time step level, improving computational efficiency and minimizing human intervention in traditional LTS schemes. …”
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Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

“…For the second objective, the NN-GBLUP model incorporating PCA-reduced RMC data improved prediction accuracy compared to standard GBLUP methods. Prediction accuracy for methane emissions increased from 0.09 to 0.30 in train-test validation and from 0.15 to 0.27 in five-fold cross-validation using PCA components explaining 25% of total RMC variation. …”
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Efficient operation of inverted umbrella aerator: The effect of operating parameters on oxygenation performance by Liai Chen, Quanzeng Gou, Hongxun Hou, Song Chen, Dagui Wang, Lei Huang

“…This study systematically compares two distinct types of aerator designs (type 1# and type 2#) under varying conditions, analyzing oxygen transfer coefficients, standard oxygen-transfer rates, and standard dynamic efficiency (Es). And the orthogonal experimental method was employed to analyze the effects of different parameters on Es. …”
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UAV-Based Remote Sensing Monitoring of Maize Growth Using Comprehensive Indices by Tingrui Yang, Jinghua Zhao, Ming Hong, Mingjie Ma, Shijiao Ma, Yingying Yuan

“…Comprehensive growth monitoring indices, CGMICV and CGMICT, were developed using the coefficient of variation method (CV) and the technique for order preference by similarity to an ideal solution (TOPSIS) based on the coefficient of variation method of empowerment (Coefficient of variation-TOPSIS, CT) respectively. …”
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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

“…Using reliably classified RRabs from frequency analysis to train, validate, and test our model, we show that our CNN method reaches accuracies up to 94%. We then applied our CNN method to some additional RRabs located in the Magellanic Cloud (MC) and the Galactic Bulge (GB), leading to the discovery of 113 and 2496 BL candidates, respectively. …”
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Pretreatment method of forchlorfenuron residues in loquat by HPLC analysis by YANG Chunping, LI Zhaojun, NING Hong, CHEN Huabao, GONG Guoshu, YANG Jizhi, ZHANG Min

“…The forchlorfenuron residues in loquat could be completely separated from impurities under these optimal conditions, and furthermore, the spiked recoveries of forchlorfenuron in loquat were 80%-100%, with coefficient of variation (CV) in the range of 3.1%-4.8%.It was concluded that our method of pretreatment could effectively extract and purify forchlorfenuron residues in loquat.…”
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Estimation of the efficiency of <i>in vitro</i> anther culture method for obtaining haploid triticale plants (×<i>Triticosecale</i> wittmack) by V. N. Anikina, O. V. Khomyakova, T. I. Diyachuk, S. V. Zhilin, E. K. Barnashova, E. V. Kalashnikova, V. P. Kulikova

“…Anther culture is one of the most popular methods for obtaining haploid triticale plants. The current paper has presented the study results of the efficiency of the method for obtaining haploid plants in promising winter triticale forms bred by the Federal Agricultural Research Center of South-East. …”
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An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model by Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo

“…This paper proposes a hybrid forecasting method (VMD–KPCA–xLSTM–Informer) based on variational-mode decomposition (VMD), kernel principal component analysis (KPCA), extended long short-term memory network (xLSTM), and the Informer model. …”
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Efficient Finite-Difference Estimation of Second-Order Parametric Sensitivities for Stochastic Discrete Biochemical Systems by Fauzia Jabeen, Silvana Ilie

“…Sensitivity analysis is an important method for studying the influence of the variations in various parameters on the output of a biochemical model. …”
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