Suchergebnisse

Long-term exposure to air environments full of suspended particles, especially PM2.5, would seriously damage people's health and life (i.e., respiratory diseases and lung cancers). Therefore, accurate PM2.5 prediction is important for the government authorities to take preventive measures. In this paper, the advantages of convolutional neural networks (CNN) and long short-term memory networks (LSTM) models are combined. Then a hybrid CNN-LSTM model is proposed to predict the daily PM2.5 concentration in Beijing based on spatiotemporal correlation. Specifically, a Pearson's correlation coefficient is adopted to measure the relationship between PM2.5 in Beijing and air pollutants in its surrounding cities. In the hybrid CNN-LSTM model, the CNN model is used to learn spatial features, while the LSTM model is used to extract the temporal information. In order to evaluate the proposed model, three evaluation indexes are introduced, including root mean square error, mean absolute percent error, and R-squared. As a result, the hybrid CNN-LSTM model achieves the best performance compared with the Multilayer perceptron model (MLP) and LSTM. Moreover, the prediction accuracy of the proposed model considering spatiotemporal correlation outperforms the same model without spatiotemporal correlation. Therefore, the hybrid CNN-LSTM model can be adopted for PM2.5 concentration prediction.

AbstractThere is currently a dispute over the choice of ovulation induction treatment for infertile women with polycystic ovary syndrome (PCOS). The objective of this study is to compare the therapeutic effect of pulsed rhythmic administration protocol (PRAP) with conventional letrozole + human menopausal gonadotropin (HMG) in patients with clomiphene-resistance polycystic ovary syndrome (PCOS). A retrospective analysis of 821 intrauterine insemination (IUI) cycles between January 2015 and January 2020 was performed. Of these, 483 cycles were treated with a pulsed rhythmic administration protocol (PRAP), and 338 cycles were treated with conventional letrozole + HMG protocol (LHP). The therapeutic effect of the two protocols has been compared. The pregnancy rate was 18.07% in the LHP and 27.07% in the PRAP. The ongoing pregnancy rate in LHP was 14.46% and in PRAP was 22.73%. The research suggests that PRAP is more effective than LHP and could be an adequate ovulation induction strategy for the IUI cycle of patients with clomiphene-resistance PCOS.