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Yufeng Wang, Xue Chen and Feng Xue
Spatial epidemiology investigates the patterns and determinants of health outcomes over both space and time. Within this field, Bayesian spatiotemporal models have gained popularity due to their capacity to incorporate spatial and temporal dependencies, ...
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Jadran Carija, Eduard Marenic, Tomislav Jarak and Mijo Nikolic
This research presents a novel approach to modeling fracture propagation using a discrete lattice element model with embedded strong discontinuities. The focus is on enhancing the linear elastic response within the model followed by propagation of fractu...
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Adam Szabo, Daniel Karoly Doba, Szilard Aradi and Peter Kiss
The number of highly automated machines in the agricultural sector has increased rapidly in recent years. To reduce their fuel consumption, and thus their emission and operational cost, the performance of such machines must be optimized. The running gear...
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Haohao Guo, Tianxiang Xiang, Yancheng Liu, Qiaofen Zhang, Yi Wei and Fengkui Zhang
This paper proposes a new method for compensating current measurement errors in shipboard permanent magnet propulsion motors. The method utilizes cascade decoupling second-order generalized integrators (SOGIs) and adaptive linear neurons (ADALINEs) as th...
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Oleg Yermolaev and Svetlana Mukharamova
This paper describes the modelling of suspended sediment yield in a plains region in the European part of Russia (EPR) and its prediction for ungauged catchments. The studied plains area, excluding the Caucasus and Ural Mountains, covers 3.5 × 106 km2 of...
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Furong Chen, Yuyuan Yi and Yifu Zhao
This study examines the role of social capital, at both individual and community levels, in promoting farmers? participation in providing rural public goods in China. Based on the survey data of 622 farmers from 82 villages across Hebei, Shaanxi, Jiangsu...
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Omar Alaqeeli and Raad Alturki
The glm R package is commonly used for generalized linear modeling. In this paper, we evaluate the ability of the glm package to predict binomial outcomes using logistic regression. We use single-cell RNA-sequencing datasets, after a series of normalizat...
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Almatbek Kydyrbekuly, Algazy Zhauyt and Gulama-Garip Alisher Ibrayev
The generalized dynamic model of the rotor system, presented in this paper, is the first model that takes into account the interconnected oscillations of the ?rotor?weakly conductive fluid?foundation? system under the action of parameters such as fluid a...
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Byoung-Gyu Song, Jong-Jin Bae and Namcheol Kang
We investigated the stochastic response of a person sitting in a driving vehicle to quantify the impact of an uncertain parameter important in controlling defect reduction in terms of ride comfort. Using CarSim software and MATLAB/Simulink, we developed ...
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Cornel Ilinca, Stefan Ciprian Stanca and Cristian Gabriel Anghel
This study examines all of the equations necessary to derive the parameters for seven probability distributions of three parameters typically used in flood frequency research, namely the Pearson III (PE3), the generalized extreme value (GEV), the Weibull...
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