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Zanyu Huang,Qiuyue Han,Adil Hussein Mohammed,Arsalan Mahmoodzadeh,Nejib Ghazouani,Shtwai Alsubai,Abed Alanazi,Abdullah Alqahtani Techno-Press 2023 Advances in nano research Vol.15 No.6
This study aims to examine four machine learning (ML)-based models for their potential to estimate the splitting tensile strength (STS) of manufactured sand concrete (MSC). The ML models were trained and tested based on 310 experimental data points. Stone nanopowder content (SNPC), curing age (CA), and water-to-cement (W/C) ratio were also studied for their impacts on the STS of MSC. According to the results, the support vector regression (SVR) model had the highest correlation with experimental data. Still, all of the optimized ML models showed promise in estimating the STS of MSC. Both ML and laboratory results showed that MSC with 10% SNPC improved the STS of MSC.
Jinlong Zhang,Jingkun Lu,Bing Liu,Qiuyue Liu,Fan Jin,Miaojun Zhang,Yerong Liu,Yujun Song,Chenhui Dong,Wanyi Zhang,Ningxu Han,Xu Deng,Feng Xing 한양대학교 세라믹연구소 2019 Journal of Ceramic Processing Research Vol.20 No.S1
Quantification of viable spores is a time taking task due to the lack of rapid, efficient and accurate methods. This studypresented a simple spectrophotometric method for the detection of viable spores based on spore’s property of losing refractivityduring the germination process. By comparison of the results obtained by both spectrophotometric method and colonycounting method, a good linear correlation (R2 = 0.99) was achieved between viable spore concentration and OD loss underappropriate conditions. To avoid interference from ungerminable spores and vegetative cells, a turbidity complementationstrategy of keeping the initial concentration of spore suspensions at the same and relatively lower level was required. Thecalibration equation developed could be used to predict the viable spore yield produced in a series of fermentation experiments. The experimental results proved that this novel spectrophotometric method was sensitive, rapid, and easy to performcompared to conventional colony counting method.