Supervised learning algorithms are a recent trend for the prediction of mechanical properties of concrete. This paper presents AdaBoost, random forest (RF), and decision tree (DT) models for predicting the compressive strength of concrete at high temperature, based on the experimental data of 207 tests. The cement content, water, fine and coarse aggregates, silica fume, nano silica, fly ash, super plasticizer, and temperature were used as inputs for the models' development.
View Article and Find Full Text PDFSichuan Da Xue Xue Bao Yi Xue Ban
July 2008
Objective: To investigate the effect of conjugated trienoic fatty acids on the growth inhibition, apoptosis in rat glioblastoma cells and to elucidate its mechanism of activity.
Methods: Rat glioblastoma cells were tested in vitro cytotoxicity, colony formation inhibition, Brdu incorporation after treatment with TCLA. Its effect of apoptosis induction was detected through Hoechst 33342 staining, cell cycle analysis.