Carbon price prediction based on multi-factor MEEMD-LSTM model.

China's national carbon market has already become the largest carbon market in the world. The prediction of carbon price is extremely important for policymakers and market participants. Therefore, the prediction of carbon price in China is of great significance. To achieve a better prediction effect, a multi-factor hybrid model combined with modified ensemble empirical mode decomposition (MEEMD) and long short-term memory (LSTM) neural network optimized by machine reasoning system on the basis of production rules is proposed in this paper. In addition to historical carbon price, other factors, such as energy, macroeconomy, environmental condition, temperature, exchange rate which affect carbon price fluctuation, are formed as multi-factor. The change characteristics of carbon price time series data and other associated factors are extracted in the carbon price prediction. The MEEMD is used to decompose data which is taken as potential input variables into LSTM neural network for prediction and the machine reasoning system based on production rules can automatically search and optimize the parameters of LSTM to further improve the prediction results. The experimental results demonstrate that the proposed method has better prediction effect, robustness and adaptability than the LSTM model without MEEMD decomposition, the single factor MEEMD-LSTM method and other benchmark models. Overall it seems that the proposed method is an advanced approach for predicting the non-stationary and non-linear carbon price time series.

Effect of Simiaoyongan Decoction with Shengmai Decoction on Apoptosis of Hypoxia/Reoxygenation Neonatal Rat Cardiomyocytes / 中国中医药信息杂志

Objective To observe the effect of Simiaoyongan decoction with Shengmai decoction on apoptosis of hypoxia/reoxygenation model of primary cultured neonatal rat cardiomyocytes. Methods The combination of trypsin and collagenase was used to isolate neonatal rat myocardial cells. Hypoxia/reoxygenation model of cardiomyocytes was made by high purity nitrogen gas. Primary cultured neonatal rat cardiomyocytes were randomly divided into control group, model group and treatment group (treated with Simiaoyongan decoction and Shengmai decoction). The myocardial apoptotic rates were detected by Annexin V-FITC/PI double-staining method. Results Compared with the control group, the apoptotic rate of model group and treatment group was high (P<0.05). Drug intervention lowered the apoptotic rate compared with the model group, the difference was significant (P <0.05). Conclusion The alcohol sedimentation solution of Simiaoyongan decoction with Shengmai decoction played a protective role on hypoxia/reoxygenation cardiomyocytes.