Objective:To construct an intelligent medical equipment procurement parameter generation system to achieve clear expression of medical equipment procurement parameters formulation and accurate demand matching,and to improve the recognition of bidding results and bidding efficiency.Methods:Based on natural language processing(NLP),web crawler and machine learning methods,an automatic data update mechanism was built to achieve massive procurement parameter data extraction,and the entity recognition method was used for the analysis of past procurement parameter data to realize the automatic extraction of entities such as medical equipment information and parameter names.Based on the similarity device recommendation and medical equipment template derivation method,an intelligent medical equipment procurement parameter generation system was constructed by using a wizard-based interactive tool.The difference between the use of intelligent medical equipment procurement parameter generation system and by 4 four three-year-experienced bidding and procurement personnel in the formulation of 10 medical equipment procurement parameter documents was compared.Results:The average generation time of medical equipment procurement parameter files using the intelligent medical equipment procurement parameter generation system was 15.23 minutes,the average time for of medical equipment procurement parameter files formulated by bidding and procurement personnel was 173.40 minutes.According to the evaluation of bidding procurement experts,the efficiency and quality of the medical equipment procurement parameter file generated by the intelligent medical equipment procurement parameter generation system were better than those formulated by three-year-experienced bidding procurement personnel.Conclusion:The application of intelligent medical equipment procurement parameter generation system to the formulation of medical equipment procurement parameters can achieve professional information collection,storage,and management of medical equipment procurement parameters,shorten the cycle of medical equipment bidding parameter formulation,provide intelligent auxiliary generation tools for medical equipment bidding and procurement practitioners,improve the efficiency of bidding parameter formulation,and enhance the efficiency of medical equipment procurement.

Objective To explore the effects of endoplasmic reticulum (ER) stress in the hyperoxia-induced lung injury in premature rats. Methods Forty-eight premature Wistar rats were randomized into two groups 12 hours after birth:hyperoxia group (n=24) inhaled 95%oxygen and control group (n=24) inhaled air. Eight rats were sacriifced in each group on day 1, 3, 7 after the treatment and the left lungs were embedded. The pathological changes in the HE stained sections of lung tissues were observed. The expressions of ER related protein ERp57 and c/EBP homologous protein CHOP were detected by immuno histo-chemistry and the apoptosis of lung cells was detected by TUNEL analysis. Results The typical pathological characteristics of acute lung injury were observed in hyperoxia group. The expressions of ERp57 and CHOP were increased with the exposure time in hyperoxia group, and were signiifcantly higher than in control group (P<0.05). The apoptosis rate of lung cells in hyperoxia group was signiifcantly higher than in control group (P<0.01). There was signiifcant positive correlation between cell apoptosis index and expressions of Erp57 and c/EBP homogeneous protein. Conclusions ER stress initiated apoptosis participates and plays an important role in the process of hyperoxia-induced lung injury in premature rats.

Objectives To explore the role of PKCβ/p66Shc oxidative stress signaling pathway in hyperoxia-induced apoptosis of alveolar epithelial cells A549. Methods A549 cells were cultured in vitro and divided randomly into control (incubated with 5%CO2), hyperoxia group (exposed to a mixture of 900 ml/L O2 and 50 ml/L CO2 at speed of 3 L/min for 10 mins, then cultured in a closed environment) and LY333531 group (treated with 10μmol/L of PKCβinhibitor LY333531 for 24h then induced with hyperoxia for 10 mins). The cellular morphology was observed under inverted microscope at 12, 24 and 48 h of treatment. The cell apoptosis was detected by lfow cytometry. Expression of PKCβ/Pin1/p66Shc/p66Shc-Ser36 were detected by immunohistochemistry after 24 h of treatment. Results Comparing to the control group, the cellular morphology of A549 in the hyperoxia group changed to spherical shapes and space between cells increased, the living cell count decreased and suspension cell increased. The living cell count in LY333531 group increased and suspension cell decreased than those in hyperoxia group but not reach the levels of the control group. The apoptosis rate of A549 cells and the expression of PKCβ/Pin1/p66Shc/p66Shc-Ser36 at 24 h were signiifcantly increased in the hyperoxia group than those in the control group, while the apoptosis rate and the expression of PKCβ/Pin1/p66Shc/p66Shc-Ser36 were greatly decreased in the LY333531 group than those in the hyperoxia group (all P<0.01). Conclusions The expression of PKCβin A549 cells can be increased by the hyper-oxia induction but reduced by LY333531, and then the expressions of Pin1, p66Shc and p66Shc-Ser36 are reduced. Thus the re-duced apoptosis of A549 cells relieve the cell injury induced by hyperoxia.

Objective:To determine the dosage,method and effectiveness of using magnesium sulfate for treating the intractable epilepsy.Methods:72 cases were allocated to treatment group and 36 to control group. For those in the treatment group,either 10 mL of 25% MgSO4 was administered by intravenous drip or 10 mL of 16.5% MgSO4 by oral intake once per day,in addition to the use of the commonly used antiepilepsy drugs. For those in the control group,the commonly used antiepilepsy drugs such as tegretol,sodium phenytoin,luminal or γ-Aminobutyric Acid were employed.Results:The improvement rate in the treatment group was 87.50%,higher than that (44.44%) in the control group (P＜0.01).Conclusion:Using magnesium sulfate in conjunction with the antiepilepsy drugs is a simple yet effective regime for the treatment of the intractable epilepsy.