Objective To design an endoscopic image acquisition system.Methods High resolution CCD image sensor was used as the image acquisition equipment to converse the optical signals into electrical ones. Data were stored with FPGA controller after ADC, and then transmitted to the computer with PCI bus,Results Trials proved that the system could acquire clear and stable image with simple structure and easy operation.Conclusion The system can acquire high-quality images for the diagnosis and treatment of endoscope.

The modulating action and mechanism of endogenous nitric oxide (NO) on the delayed rectifier potassium currents in cultured hippocampal neurons were examined using whole-cell patch clamp techniques. L-arginine (L-Arg, 2 mmol/L), a substrate of NO synthases, significantly suppressed the delayed rectifier K+ currents in hippocampal neurons, while its isomer D-arginine (D-Arg, 2 mmol/L) exerted no effect. Moreover, pretreatment with NO synthase inhibitor L-NAME (0.5 mmol/L) completely blocked the suppressing effect by L-Arg, indicating that L-Arg exerted its modulation by producing NO but not by itself. No effect was found on the L-Arg-induced inhibition by 10 min pretreatment of 10 |?mol/L ODQ (a specific inhibitor of guanylate cyclase). In contrast, thiol-alkylating agent N-ethylmaleimide (1 mmol/L) completely precluded L-Arg-induced inhibition on the whole K+ currents. The results indicate that endogenous NO modulates the delayed rectifier K+ currents in cultured hippocampal neurons mostly through S-nitrosylation.

Objective:To analyse the composition of Astragali Radix and its honey-processed products through a combination of UPLC-Q-TOF/MS and molecular network; To compare the changes in the main components of Astragali Radix before and after honey-frying.Methods:The aqueous extracts of Astragali Radix before and after honey-frying were prepared, and the compositions were detected by UPLC-Q-TOF/MS, analyzed and identified by the Global Natural Products Molecular Network Analysis Platform (GNPS). The generated molecular networks were visualized and analyzed using Cytoscape 3.9.1 software. The compounds were identified by Masslynx 4.2 software based on the secondary fragmentation information of the compounds, and the changes in the content of the components before and after the processing of Astragali Radix were analysed.Results:47 flavonoids and 34 triterpenoid saponins were presumably identified from Astragali Radix and its honey-frying products using the above analytical methods, with about 87% of the flavonoids and about 82% of the saponins decreasing in content after honey-frying.Conclusions:The compositional changes of Astragali Radix before and after honey-frying are rapidly resolved and visualised by liquid-quantity coupling combined with molecular network. It is found that some of the flavonoids and saponins components of Astragali Radix underwent hydrolysis after honey-frying and it may be the material change basis for processing efficiency enhancement.

Objective To analyze the effects of GATA binding protein 3(GATA3)mediated mini RNA-21(miR-21)/phosphatase and tensin homologue(PTEN)axis missing from human chromosome Chromosome 10 on the proliferation and invasion of endometrial cancer cells.Methods HEC-1-A cells were transfected and divided into control group,GATA3 empty plasmid group,GATA3 overexpression plasmid group,GATA3 siRNA negative control group,and GATA3 siRNA group.Detect the expression levels of GATA3,miR-21,PTEN,proliferation,apoptosis rate,migration,and invasion in each group of cells.Results Compared with the hEEC group,the expression levels of GATA3 and miR-21 in cells of the HEC-1-A group,HEC-1-B group,and Ishikawa group increased,while the expression levels of PTEN decreased(P<0.05).Compared with the GATA3 empty plasmid group,the GATA3 overexpression plasmid group showed an increase in GATA3,miR-21 mRNA expression,pro-liferation rate,migration distance,number of invading cells,and Vimentin levels,while the PTEN mRNA expression,apoptosis rate,Caspase-9,Bax,and E-cadherin levels decreased(P<0.05);Compared with the GATA3 siRNA negative control group,the GATA3,miR-21 mRNA expression,proliferation rate,migration distance,number of invading cells,and Vimentin level decreased,while the PTEN mRNA expression,apoptosis rate,Caspase-9,Bax,and E-cadherin levels increased(P<0.05).Conclusion Downregulation of GATA3 expression can regulate the miR-21/PTEN axis,slow down the proliferation of HEC-1-A cells,and promote apoptosis of HEC-1-A cells.

Objective:To explore the effect of short-term training on pressure injury prevention cognition and nursing behavior of nurses in Operating Room.Methods:From July 2018 to September 2019, 36 nurses working in the Operating Room of the Affiliated Hospital of Hangzhou Normal University were selected as the research object by convenience sampling. The questionnaire was used to find out how they acquired knowledge about pressure injury before training. Then, the short-term training in pressure injury prevention lasting for 3 months was conducted. The nurses' mastery of knowledge and nursing skills on pressure injury prevention before and after training were compared. Using the convenience sampling method, 80 surgical patients who received treatment in the hospital from July to December 2018 were selected as the control group (before training) , and 80 surgical patients from April to September 2019 were selected as the observation group (after training) . The incidence of surgery-related pressure injury was compared between the two groups.Results:Before the training, the number of nurses who acquired knowledge about pressure injury through in-hospital learning accounted for 80.56% (29/36) , followed by the Internet, related books and nursing journals, accounting for 52.78% (19/36) and 44.44% (16 /36) and 44.44% (16/36) respectively. After short-term training, 36 nurses' mastery of pressure injury-related knowledge, pressure injury nursing behavior scores and total scores were higher than those before training, and the differences were statistically significant ( P<0.01) . The incidence of pressure injury in the observation group was lower than that in the control group, and the difference was statistically significant ( P<0.05) . Conclusions:Short-term training for nurses in Operating Room can effectively improve their awareness of pressure injury and nursing behavior, and reduce the incidence of pressure injury in surgical patients.

Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diagnosis of the disease depends on blood gas analysis results, while calculating the oxygenation index. However, blood gas analysis is an invasive operation, and can't continuously monitor the development of the disease. In response to the above problems, in this study, we proposed a new algorithm for identifying the severity of ARDS disease. Based on a variety of non-invasive physiological parameters of patients, combined with feature selection techniques, this paper sorts the importance of various physiological parameters. The cross-validation technique was used to evaluate the identification performance. The classification results of four supervised learning algorithms using neural network, logistic regression, AdaBoost and Bagging were compared under different feature subsets. The optimal feature subset and classification algorithm are comprehensively selected by the sensitivity, specificity, accuracy and area under curve (AUC) of different algorithms under different feature subsets. We use four supervised learning algorithms to distinguish the severity of ARDS (P/F ≤ 300). The performance of the algorithm is evaluated according to AUC. When AdaBoost uses 20 features, AUC = 0.832 1, the accuracy is 74.82%, and the optimal AUC is obtained. The performance of the algorithm is evaluated according to the number of features. When using 2 features, Bagging has AUC = 0.819 4 and the accuracy is 73.01%. Compared with traditional methods, this method has the advantage of continuously monitoring the development of patients with ARDS and providing medical staff with auxiliary diagnosis suggestions.
Algorithms ; Area Under Curve ; Blood Gas Analysis ; Humans ; Machine Learning ; Monitoring, Physiologic ; methods ; ROC Curve ; Respiratory Distress Syndrome, Adult ; diagnosis ; Sensitivity and Specificity