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  1. 5701

    Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models by Peng Guan, Guangzhao Ou, Feng Liang, Weibang Luo, Qingyong Wang, Chengyuan Pei, Xuan Che

    Published 2025-01-01
    “…Accurate prediction of tunnel squeezing, one of the common geological hazards during tunnel construction, is of great significance for ensuring construction safety and reducing economic losses. To achieve precise prediction of tunnel squeezing, this study constructed six reliable machine learning (ML) classification models for this purpose, including Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and K-Nearest Neighbors (KNN). …”
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  14. 5714

    A study on the carbon emission reduction pathways of China’s digital economy from multiple perspectives by Xiaoyan Shi, Zhenhua Zhu, Jiaxin Wu, Zhijiang Li

    Published 2025-01-01
    “…Under the influence of urbanization, there is an inverted U-shaped relationship between DE and CE. (4) Heterogeneity analysis finds that, compared to other types of provinces, the CER effect of DE is stronger in non-resource-based and economically developed provinces. (5) We propose five tailored recommendations for CER: fostering the synergistic development of the DE and industrial structure, strengthening the role of technological innovation, advancing urbanization and carbon reduction in a differentiated manner, formulating distinct policies for resource-based and non-resource-based provinces, and enhancing the construction of digital infrastructure in less-developed regions. …”
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    Organization and functioning of public procurement system in economy of Rostov region by Yu. S. Zharkova, E. N. Karpova, E. I. Brichka

    Published 2020-05-01
    “…In the future, it is necessary to establish tools for competitive selection of procurement participants, which involves the analysis of indicators of the effectiveness of financial and economic activities of commercial structures…”
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