A Multiple Regression Convolutional Neural Network for Estimating Multi-Parameters Based on Overall Data in the Inverse Heat Transfer Problem

Abstract The inverse heat transfer problem (IHTP) is a central task for estimating parameters in heat transfer. It is ill-posedness that is characterized by instability and non-uniqueness of the solution. Recently, novel algorithms using deep learning (DL) and neural networks have been applied to various sparse data in the IHTP. In order to overcome the optimization problem of input nodes under sparse data, we try to use the overall data of the target as the basis for inversion. In this work, we used a multiple regression convolutional neural network (MRCNN) to estimate multi-parameters in the IHTP. Computational fluid dynamics and DL are fused to provide datasets for training of the proposed model. The proposed model was verified by experiments with a cubic cavity. Additionally, the MRCNN model was used to predict the different parameters of the more complex armored vehicle model. The results showed that the model has good prediction accuracy for estimating multi-parameters on different datasets. These attempts of introducing convolutional neural network to the IHTP in the present study were successful and it was significant for the study of the IHTP of estimating multi-parameters.</jats:p

Notoginsenoside R1 (NGR1) induce DNA damage to inhibit cervical cancer cells proliferation by inhibiting PHF6 activity

Abstract Notoginsenoside R1 (NGR1) is isolated from the panax notoginseng which is a kind of Traditional Chinese Medicine and edible plant with good healthful effect that using range is very wide for medical treatment and health care. It had been demonstrated to inhibit various tumors proliferation, but whether it inhibited cervical cancer cells proliferation and its mechanism was not unclear. In this study, we showed that NGR1 could inhibit cervical cancer cells to proliferate with a time and dose dependent manner, induce cervical cancer cells apoptosis and arrest cervical cancer cells in G1/S-phase . We also found that NGR1 could make H2AX phosphorylation and inhibit PHF6 expression with a time and dose dependent manner. Furthermore, when over expression PHF6 gene, the γH2AX haven't any change , but silenced PHF6 gene with siRNA, the γH2AX increased significantly. That mean PHF6 has negative correlation with γH2AX. Subsequently , we added NGR1 to intervene, something interesting happened that PHF6 protein fell even more, but the γH2AX more up regulation in the siPHF6 and NGR1 group. In the PEGFP-C1-PHF6 plasmid vector and NGR1 group, inversely , the PHF6 protein declined, and the γH2AX still up regulation . All those results indicate d that NGR1 caused DNA injury by inhibiting PHF6 activity pathway and arrested cervical cancer cells in G1/S-phase.</jats:p