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JOHN, & PARKER. (2012). Greater focus on quality obvious for cis cigarette trade. Tobacco international, 12(1), 36-39.Search in Google Scholar
Zou, Q., Zhang, T., Zhao, Y., Chen, R., & Feng, H. (2021). Effect of cut tobacco size and distribution on critical cigarette quality characteristics of “slim cigarette” processing technology. Journal of Physics Conference Series, 1748(6), 062043.Search in Google Scholar
Barhdadi, S., Moens, G., Canfyn, M., Vanhee, C., Desmedt, B., & Courselle, P., et al. (2021). Impact of the revised european tobacco product directive on the quality of e-cigarette refill liquids in belgium (vol 23, pg 227, 2021). Nicotine & Tobacco Research(1), 23.Search in Google Scholar
Xiaoxi, S. I., Fengmei, Z., Le, Z., Jianyun, Y., Ruizhi, Z., & Hongbo, W., et al. (2018). Particle size distribution of aerosols in mainstream smoke of cigarettes with different moisture content in cut tobacco. Acta Tabacaria Sinica.Search in Google Scholar
Song, D. J., Feng, S. X., Feng, L. Y., Jie, L. H., & Shan, A. L. D. (2008). Effects of cut tobacco size distributions on physical characteristics of cigarette. Tobacco Science & Technology.Search in Google Scholar
Xiaohua, G., Bin, Y. I., Yadong, W., Liang, F. U., Kai, W. U., & Ning, M. A., et al. (2019). Influences of the controlled strand length cutting of tobacco strips on the quality characteristics of cigarette. Journal of Yunnan Agricultural University(Natural Science).Search in Google Scholar
Xiaoxi, S. I., Ruizhi, Z., Jianyun, Y., Hongbo, W., Huapeng, C., & Zhenjie, L. I., et al. (2018). Effects of tobacco cut width on particle size distribution of mainstream cigarette smoke aerosol. Tobacco Science & Technology, 51(8), 47-52.Search in Google Scholar
Wang, X., Wang, X., Wu, J., Zheng, K., & Gang, S. (2021). Research on quality traceability of cigarette by combining pdca quality cycle with information strategy based on fuzzy classification. Journal of Intelligent and Fuzzy Systems, 40(1), 1-10.Search in Google Scholar
Lin, J., & Guo, H. (2020). Application of machine learning in cigarette quality evaluation method. Journal of Physics Conference Series, 1607, 012011.Search in Google Scholar
Qi, L., Yang, J., Tang, X., Li, Y., Cheng, L., & Liu, B., et al. (2022). Application of combining weighting and efficacy coefficient in cigarette physical quality evaluation. Journal of Biobased Materials and Bioenergy.Search in Google Scholar
Raykov, T., & Traynor, A. (2016). Evaluation of multicomponent measuring instrument reliability in complex design studies. Structural equation modeling, 23(1-2), 270-277.Search in Google Scholar
Raykov, T. (2019). Strong consistency of reliability estimators for multiple-component measuring instruments. Structural equation modeling, 26(5/6), 750-756.Search in Google Scholar
Li, Y. (2021). Quantitative assessment of landslide risk based on susceptibility mapping using random forest and geodetector. Remote Sensing, 13.Search in Google Scholar