Predicting Demands of COVID-19 Prevention and Control Materials via Co-Evolutionary Transfer Learning.

The novel coronavirus pneumonia (COVID-19) has created great demands for medical resources. Determining these demands timely and accurately is critically important for the prevention and control of the pandemic. However, even if the infection rate has been estimated, the demands of many medical materials are still difficult to estimate due to their complex relationships with the infection rate and insufficient historical data.

Tridirectional Transfer Learning for Predicting Gastric Cancer Morbidity.

Our previous study has constructed a deep learning model for predicting gastrointestinal infection morbidity based on environmental pollutant indicators in some regions in central China. This article aims to adapt the prediction model for three purposes: 1) predicting the morbidity of a different disease in the same region; 2) predicting the morbidity of the same disease in a different region; and 3) predicting the morbidity of a different disease in a different region. We propose a tridirectional transfer learning approach, which achieves the abovementioned three purposes by: 1) developing a combined univariate regression and multivariate Gaussian model for establishing the relationship between the morbidity of the target disease and that of the source disease together with the high-level pollutant features in the current source region; 2) using mapping-based deep transfer learning to extend the current model to predict the morbidity of the source disease in both source and target regions; and 3) applying the pattern of the combined model in the source region to the extended model to derive a new combined model for predicting the morbidity of the target disease in the target region.

Generative adversarial network based telecom fraud detection at the receiving bank.

Recently telecom fraud has become a serious problem especially in developing countries such as China. At present, it can be very difficult to coordinate different agencies to prevent fraud completely. In this paper we study how to detect large transfers that are sent from victims deceived by fraudsters at the receiving bank.

Effect of Yiqi Jianpi plus anticancer herbs on spleen deficiency in colorectal cancer and its anti-tumor role.

Objective: To observe the effect of Yiqi Jianpi plus anticancer herbs on spleen deficiency in colorectal cancer and its anti-tumor role.

Methods: Human intestinal cancer cell HT29 xenograft of nude mice model was established. The expression of EGF, VEGF, gastric cancer tumor growth in mice were observed.

[Inhibitory effects of sinapine on activity of acetylcholinesterase in cerebral homogenate and blood serum of rats].

Objective: The present study investigated the inhibitory effects of Chinese herb component sinapine on activity of acetylcholinesterase (AChE) in cerebral homogenate and blood serum of rats.

Method: AChE was prepared from cerebral homogenate and blood serum of rats, respectively. Acetylcholinesterase activity assay kit and Chromatometry were used to detect the AChE activity.

[Study on HPLC fingerprints of Phyllanthus urinaria].

Objective: To establish the HPLC fingerprints of Phyllanthus urinaria L.

Methods: The HPLC was used to establish the fingerprint of Phyllanthus urinaria.

Results: The HPLC fingerprint profiles of Phyllanthus urinaria contains 10 common peaks.

[Study on process of removing impurity from water-extraction of gutianquan-capsule].

Objective: To study the result of removing impurity from water-extraction of Gutianquan-capsule with macro-reticular absorbing resin, chitosans clarification, water-extraction and alcohol-precipitation methods.

Method: Coefficient of Unguent of macro-reticular absorbing resin, chitosans clarification method, water-extraction and alcohol-precipitation methods were compared, and qualitative assay of Ginsenoside Rg1, Re, and snide measurement of Ginsenoside Rg1, Ferulic acid, and stability experiment were made.

Result: Coefficient of Unguent of water-extraction and alcohol-precipitation method was 17.