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  1. 141

    INNOVATION POTENTIAL AS A DETERMINING FACTOR IN THE GROWTH OF COMPETITIVE ADVANTAGES BUILDING PRODUCTS by T. U. Levitsky, A. M. Esetova

    Published 2016-07-01
    “…One of the factors of the competitiveness increase of construction products is the innovative potential of construction industry. …”
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    Single-Phase Bridgeless Three-Level Power Factor Correction Topologies Based on the Embedded Construction Scheme by Tianyue Wang, Hui Ma, Wenjing Li, Guixi Miao, Qingsong Zhao, Meng Si, Yun Lu

    Published 2023-01-01
    “…In this study, a novel family of single-phase, bridgeless, three-level power factor correction (PFC) topologies was proposed based on the embedded construction scheme. …”
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    Construction and evaluation of yeast expression networks by database-guided predictions by Katharina Papsdorf, Siyuan Sima, Gerhard Richter, Klaus Richter

    Published 2016-05-01
    “…To look into transcriptional responses, we constructed networks from these genes. We therefore developed an algorithm, which is capable of dealing with very small numbers of microarrays by clustering the hits based on co-regulatory relationships obtained from the SPELL database. …”
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    Factors Influencing Big Data Adoption for Sustainability in the Swedish Construction Industry: Technical, Economic, and Organizational Perspectives by Aina El Masry

    Published 2025-05-01
    “…Although Big Data is recognized as a transformative tool for improving sustainability by optimizing energy use, resource efficiency, and decision-making, its adoption in construction remains limited. This study aims to identify and analyze the technical, economic, and organizational factors influencing Big Data adoption for sustainability and climate neutrality in Swedish construction companies. …”
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    Investigation of Factors Influencing the Construction Safety of High-Speed Railway Stations Based on DEMATEL and ISM by Feng Lin, Ping Wu, Yidong Xu

    Published 2021-01-01
    “…To explore the influencing factors and mutual influence mechanism of the construction safety of China’s high-speed railway stations, this study takes the Hanghuang high-speed railway Fuyang station as the subject and studies 17 risk factors in 4 categories affecting construction safety based on system safety theory, and the interaction relationship and degree among the factors were analysed. …”
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  15. 155

    Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy by Cong Feng, Bo Yang, Linlang Liang

    Published 2025-01-01
    “…[Methods] From June 2018 to June 2023, a total of 240 elderly patients with type 2 diabetic nephropathy who visited General Hospital of Northern Theater Command of Chinese PLArmy Hospital were research object, of which 168 were included in disease group 1 and 72 were included in disease group 2.Disease group 1 included 52 cases of urinary tract infections (combined group) and 116 cases of non infection (non combined group); The disease group 2 included 26 cases of infection and 46 cases of non infection.Baseline and laboratory data were compared between disease group 1 and disease group 2, and between the combined group and non combined group; Multivariate logistic regression was applied to analyze the risk factors of urinary tract infections; The nomogram model was constructed based on the selected risk factors and validated, and consistency was checked by generating calibration curves. …”
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  16. 156

    Analysis of arteriovenous fistula failure factors and construction of nomogram prediction model in patients with maintenance hemodialysis by Shengjie Guo, Yurou Wang, Chao Zou, Liping Liu, Tingting He, Chengcheng Sun, Xiaosu Gan, Xiaofang Tian, Liying Yuan

    Published 2025-12-01
    “…ROC curve analysis, the Hosmer-Lemeshow test, and decision curve analysis were utilized for model validation.Results The study ultimately included 223 patients, and 6 independent factors influencing AVF failure were analyzed. The constructed nomogram model demonstrated good predictive power, with areas under the curve of 0.834 (95% CI 0.762-0.907) and 0.806 (95% CI 0.701-0.911) for the training and validation sets, respectively. …”
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  17. 157

    SRW-YOLO: A Detection Model for Environmental Risk Factors During the Grid Construction Phase by Yu Zhao, Fei Liu, Qiang He, Fang Liu, Xiaohu Sun, Jiyong Zhang

    Published 2025-07-01
    “…With the rapid advancement of UAV-based remote sensing and image recognition techniques, identifying environmental risk factors from aerial imagery has emerged as a focal point in intelligent inspection during the power transmission and distribution projects construction phase. …”
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