Objective:To explore the medication law for threatened irritability in ancient gynecological monographs based on data mining.Methods:Based on Zhong Hua Yi Dian (5th edition), Chinese Medicine Resource Network and the paper version of ancient books, the representative gynecological monographs from the pre-Qin to the Qing Dynasty were selected to retrieve the prescriptions for the treatment of fetal irritability and establish a database. Excel 2019, IBM SPSS Modeler 18.0 and IBM SPSS Statistics 26.0 software were used to perform frequency statistics, association rule analysis and clustering analysis on the data of Chinese materia medica, analyze the core drug groups, and explore the medication laws. Results:A total of 151 prescriptions were included, including 7 kinds of TCM syndrome types, involving 111 kinds of Chinese materia medica. The most commonly used Chinese materia medica were Angelicae Sinensis Radix, Glycyrrhizae Radix et Rhizoma, Atractylodis Macrocephalae Rhizoma, Chuanxiong Rhizoma, and Paeoniae Radix Alba, etc. The efficacy categories were mainly tonic, heat-clearing, blood-activating and stasis-resolving; the medicinal properties were mainly warm and neutral; the tastes were mainly sweet and pungent; the main meridians were spleen, lung, liver and kidney meridians. 17 commonly used TCM combinations were obtained by association rule analysis, and five core TCM combinations were obtained by clustering analysis.Conclusions:In the treatment of threatened irritability, ancient doctors used the method of tonifying kidney and invigorating spleen, tonifying qi and nourishing blood, clearing heat and preventing miscarriage flexibly. The core drugs were mainly Angelicae Sinensis Radix, which was mostly modified on the basic prescriptions such as Siwu Decoction and Jiaoai Decoction.

Objective:To establish a radiomics-based biomarker for predicting pathological response after preoperative neoadjuvant chemoradiotherapy (nCRT) in locally advanced esophageal cancer.Methods:From 2008 to 2018, 112 patients with locally advanced esophageal cancer who received nCRT were enrolled. All patients were treated with preoperative nCRT combined with surgery. Enhanced CT images and clinical information before nCRT were collected. A lesion volume of interest was manually delineated. In total, 670 radiomics features (including tumor intensity, shape and size, texture and wavelet characteristics) were extracted using the pyradiomics package in PYTHON. The stepwise regression combined with the best subset were employed to select the features, and finally the Logistic regression model was adopted to establish the prediction model. The performance of the classifier was evaluated by the area under the ROC curve (AUC). Results:The pathological complete remission (pCR) rate was 58.0%(65/112). 10 radiomics features were included in the final model, The most relevant radiomics feature was the gray feature (the texture information of the image), followed by the shape and voxel intensity-related features. In the training set, the AUC was 0.750 with a sensitivity of 0.711 and a specificity of 0.778, the corresponding values in the testing set were 0.870, 0.757 and 0.900, respectively.Conclusions:Models based on radiomics features from CT images can be utilized to predict the pathological response to nCRT in esophageal cancer. As it is efficient, non-invasive and economic model, it could serve as a promising tool for individualized treatment when validated by further prospective trials in the future.

Objective To explore the program of convolutional neural networks for the diagnosis of schizophrenia and evaluate its effects. Methods Using the convolutional neural network,the training model was trained in the lead data of 138 normal people and 183 schizophrenic patients,and the model was valida-ted by 20-fold cross-validation. Results The true positive rate of schizophrenia prediction using the convolu-tional neural network training model was 0. 749, the false positive rate was 0. 275, and the accuracy was 0. 738. Conclusion This model can achieve a strong diagnostic ability for patients with schizophrenia. Therefore,convolutional neural network for the diagnosis of schizophrenia will become an important research direction in the future.

Aim To investigate the protective effects of beraprost sodium on cerebral cortical neuron injury in chronic aluminum-overload rats and its effects on PGIS-IP signaling pathway. Methods 75 SD rats were randomized into five groups: normal control group, chronic aluminum-overload group ( model group) and beraprost sodium groups-low dose (6 μg· kg-1 ), medium dose ( 12 μg · kg-1 ) and high dose (24 μg·kg-1). Aluminum gluconate (Al3+ 200 mg ·kg-1 d-1, once a day, 5d a week, for 20 weeks, p. o. ) was administered to rats of cerebral damage model. The rats of experimental groups were concomi-tantly treated with beraprost sodium ( p. o. ) daily for 20 weeks. After the model was built successfully, the spatial learning and memory( SLM) function was done by Morris water maze. The cortical neurons damage was detected by HE staining, SOD activities and MDA contents. The 6-k-PGF1α levels in cortex were meas-ured by ELISA. The expressions of PGIS, IP mRNA and IP protein were also studied. Results Compared with the rats of normal control group, the SLM function was significantly impaired ( P<0. 01 ) and considera-ble karyopycnosis was observed in model group rats. The SOD activities were weakened ( P <0. 01 ), the MDA contents increased ( P<0. 05 ) and the levels of 6-k-PGF1α raised significantly ( P <0. 01). The ex-pressions of PGIS and IP mRNA in the rats cortex obvi-ously increased ( P<0. 01 ), so did the expression of IP protein(P<0. 05). Compared with the rats of mod-el group, the SLM function of rats in experimental groups decreased significantly ( P<0. 01 ) and damage of cortical neurons reduced remarkably. The SOD ac-tivities increased ( P <0. 01 ) and the MDA contents decreased ( P <0. 01). Besides, the content of 6-k-PGF1α, the expressions of PGIS mRNA and IP protein in the rats cortex decreased significantly ( P<0. 05 ) as well as IP mRNA ( P<0. 01). Conclusion Our re-sults demonstrate that in cerebral cortical neuron of chronic aluminum-overload rats, beraprost sodium has notably protective effects and the mechanism might be related to PGIS-IP signaling pathway.

Objective To survey the situation of spinal cord injuries (SCI) in Beijing.Methods China Rehabilitation Research Center and Information Center of Beijing Health Bureau sponsored the surveillance of 86 hospitals in Beijing which had hospitalized SCI patients in 2002. The faculty of surveillance was composed of trained professionals. The number of registered SCI patients in 2002 was 1077, and 264 patients in 11 hospitals were chosen to be investigated in detail according to stratified sampling result.Results There were 1077 registered patients with a neurological deficit and the annual SCI incidence was 60 per million. The ratio of male to female was 3:1 and the ratio of cervical, thoracic, lumbar injuries and others is 4.9%, 28%, 66.7%, 0.4% respectively. The mean age at the time of injury was 41 years. The causes most frequently seen were falls from a height and traffic accidents. The mean time of hospitalization was 18.9 days and the mean expenditure of hospitalization was 27819.3 RMB. Four patients were transferred to rehabilitation hospitals, and others went homes directly after discharge.Conclusion There are many reasons for the high annual SCI incidence in Beijing and the first SCI cause was falling from a height, which should be pay special attention when the prevention measures are taken into account. The rate of SCI patients who received systemic medical rehabilitation was low.