The knowledge and experience of medical practitioners in the diagnosis and treatment of diseases throughout history are mostly reflected in the description and analysis of relevant clinical events.The diagnosis and treatment thinking and cognitive reasoning process among the knowledge has dynamic and complex characteristics in time and space.However,the current exploration of ancient doctors' diagnosis and treatment experience of diseases and syndromes is mainly focuses on the academic evolution of the entire historical time line,and lacks the exploration of the concept of time and its medical relevance in ancient books.It mainly focuses on entity knowledge,and lacks the presentation of temporal dynamic cognitive logic.Moreover,the research primarily focuses on the study of specific terms in ancient Chinese medicine books,without fully covering ancient medical events.To address this issue,this research proposes to construct the evolution model of diagnosis and treatment experience based on time-series dynamic perspective:according to the time series of diagnosis and treatment events,it covers the time system module,the"coming disease"module,the"already sick"module,and the"after sick"module,which involves the dynamic risk assessment of disease occurrence by ancient medical practitioners,the grasp of the dynamic evolution of the already sick state and the treatment plan,and the dynamic health plan for the after sick state.

The knowledge and experience of medical practitioners in the diagnosis and treatment of diseases throughout history are mostly reflected in the description and analysis of relevant clinical events.The diagnosis and treatment thinking and cognitive reasoning process among the knowledge has dynamic and complex characteristics in time and space.However,the current exploration of ancient doctors' diagnosis and treatment experience of diseases and syndromes is mainly focuses on the academic evolution of the entire historical time line,and lacks the exploration of the concept of time and its medical relevance in ancient books.It mainly focuses on entity knowledge,and lacks the presentation of temporal dynamic cognitive logic.Moreover,the research primarily focuses on the study of specific terms in ancient Chinese medicine books,without fully covering ancient medical events.To address this issue,this research proposes to construct the evolution model of diagnosis and treatment experience based on time-series dynamic perspective:according to the time series of diagnosis and treatment events,it covers the time system module,the"coming disease"module,the"already sick"module,and the"after sick"module,which involves the dynamic risk assessment of disease occurrence by ancient medical practitioners,the grasp of the dynamic evolution of the already sick state and the treatment plan,and the dynamic health plan for the after sick state.

Objective:To investigate the progress and prognosis of cervical high-grade squamous epithelial lesion (HSIL) in pregnancy and its effects on pregnancy outcome.Methods:Eighty-five pregnant women who were complicated by cervical HSIL and accepted prenatal care and delivered in Shanghai First Maternity and Infant Hospital from January 2013 to December 2017 were retrospectively recruited as case group. Another 85 pregnant women without cervical lesions were recruited as control. The progress and outcome of cervical HSIL in the case group and the association with delivery mode were analyzed. The pregnancy outcomes were compared between the two groups by two independent sample t-test, Chi-square test or Fisher's exact test. Results:In the case group, the regression rate of cervical HSIL was 29% (25/85) with 10 cases regressing to low-grade squamous epithelial lesion or atypical squamous epithelial cells of undetermined significance and 15 to chronic cervical inflammation; the persistence rate was 64%(54/85); and the progression rate was 7%(6/85). All six progressed patients gave birth to alive babies and one case progressed to invasive cervical cancer and five to HSIL with micro-invasive cervical cancer after delivery. There was no significant difference in the progression rate [7%(4/60) vs 8%(2/25)], regression rate [32%(19/60) vs 24%(6/25)] or persistence rate [62%(37/60) vs 68%(17/25)] between vaginal delivery and cesarean delivery women ( χ2=0.509, P=0.775). The incidence of premature birth of the HSIL group was higher than that of the control group [9%(8/85) vs 1%(1/85), Fisher's exact test, P=0.017], while there were no significant differences in the incidence of other complications or adverse pregnancy outcomes such as intrauterine fetal death, preterm premature rupture of membranes, low-lying placenta, amniotic fluid contamination of Ⅱ-Ⅲ degree, placental abruption, oligohydramnios and fetal distress between the two groups (all P>0.05). Conclusions:The progression rate of HSIL during pregnancy is low. Thus, a close follow-up could be conducted if invasive carcinoma is ruled out and the postpartum treatment should base on pathological results. HSIL during pregnancy could increase the risk of preterm labor, but is not an indication of cesarean section.

A magnetic extraction sorbent based on Fe3 O4@poly ( methacrylic acid-co-ethylene dimethacrylate) ( Fe3 O4@MAED ) was synthesized using methacrylic acid and ethylene dimethacrylate as monomer and cross-linker, respectively. The magnetic sorbent was characterized by FTIR spectroscopy, elemental analysis and transmission electron microscopy. At the same time, the Fe3 O4@MAED was used to extract four benzoylurea pesticides in water and juice samples under magnetic dispersive solid phase microextraction ( MDSPME ) format. To obtain the optimal extraction conditions, several parameters, including the amount of sorbent, desorption solvent, extraction and desorption time, pH value, and ionic strength in sample matrix were investigated. Based on this, a fast, simple and sensitive method for the determination of benzoylurea pesticides in water and juice samples was developed by the combination of MDSPME with HPLC equipped with diode array detector. Under the optimized experimental conditions, the developed method possessed expected linear dynamic ranges, coefficients of correlation ( R2>0. 99 ) and sensitivity. The limits of detection (S/N=3) for target analytes were 0. 10-0. 19 μg/L in water and 0. 12-0. 30 μg/L in juice, respectively. The RSDs for intra-day were less than 7% and inter-day RSDs were less than 11%. The developed method was successfully applied to the determination of benzoylurea pesticides residues in water and juice samples and the recoveries of spiked target compounds were in the range of 69. 4%-118. 0%. The results demonstrated that the Fe3 O4@ MAED could extract benzoylurea pesticides effectively through multi-interactions including hydrophobic, hydrogen-bond and ion-exchange interactions between sorbent and analytes.