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OBJECTIVE To establish the fingerprint of the ethanol extract from Callicarpa nudiflora， analyze its anti- respiratory syncytial virus （RSV） activity in vitro， and study the relationship between spectrum and effect. METHODS Using 10%， 30%， 50%， 70% and 90% ethanol as solvent， 20 batches of ethanol extracts from 4 batches of C. nudiflora were prepared. The fingerprints for 20 batches of ethanol extracts from C. nudiflora were mapped by ultra-high-performance liquid chromatography （UPLC）， and the similarity evaluation was conducted by using the Similarity Evaluation System for Traditional Chinese Medicine Chromatographic Fingerprints （2012 edition）. The cytopathic effect method and MTT method were used to investigate the in vitro inhibitory activity of the ethanol extracts from C. nudiflora on RSV. Pearson correlation analysis， grey correlation degree and orthogonal partial least squares （OPLS） analysis were used to study the spectrum-effect relationship. RESULTS There were 25 common peaks in 20 batches of ethanol extracts from C. nudiflora， and the similarities ranged from 0.912 to 0.998， and the RSDs of common peak areas were 33.54%-162.28%. The average values of IC50 for RSV of 20 batches of ethanol extracts from C. nudiflora were 9.55-272.23 μg/mL. The results of Pearson correlation analysis， grey correlation analysis and OPLS analysis showed that the Pearson correlation coefficients （P＜0.05） of the common peaks 8， 10， 12， 16， 18-19， 22-24 with pharmacodynamic indicators and regression coefficients were all negative， the correlation coefficients were all greater than 0.6， and the values of variable importance in projection were all greater than 1. CONCLUSIONS Twenty batches of ethanol extracts from C. nudiflora have similar components but significant differences in content， and exhibit different degrees of anti-RSV activity in vitro. The corresponding components of common peaks 8， 10， 12， 16， 18-19， 22-24 may be the characteristic components of anti-RSV of C. nudiflora.
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Objective:To investigate the value of neck circumference (NC) for identifying metabolic syndrome (MS) in patients with type 2 diabetes.Methods:a total of 413 type 2 diabetic patients (188 male and 225 female) in Qinhuangdao Chinese Medicine Hospital from August 2018 to July 2019 were recruited. Waist circumference (WC), NC and metabolic indicators were measured. The association between WC, NC and metabolic indicators was explored. Area under the curve (AUC) was used to evaluate the abilities of NC.Results:The average age of male was (55.35 ± 14.15) years, and the detection rate of MS was 74.47% (140/188). The average age of female was (60.19 ± 10.29) years, and the detection rate of MS was 71.11% (160/225). In male group, WC showed a negative correlation with age and high density lipoprotein-cholesterol (HDL-C) ( P<0.05); NC showed a negative correlation with glycated hemoglobin, total cholesterol (TC) and HDL-C ( P<0.05), and a positive correlation with diastolic blood pressure (DBP) ( P<0.05). In female group, WC showed a positive correlation with fasting plasma glucose (FPG) and systolic blood pressure (SBP), and a negative correlation with HDL-C; NC showed a positive correlation with FPG and SBP. WC and HC were good indexes for identifying metabolic syndrome in type 2 diabetes (WC: AUC male 0.862, female 0.870; NC: AUC male 0.745, female 0.752). After applying the ROC analysis, neck circumferences ≥ 34.5 cm in males and ≥ 31.75 cm in females were determined as the best cutoff values to predict MS in type 2 diabetes. Conclusions:NC is a helpful tool to detect MS in type 2 diabetes.
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Objective To explore the application of auto-regressive integrated moving average (ARIMA) product season model in predicting number of inpatient and hospitalized expense of malignant tumor,and to provide scientific basis for hospital business management.Methods We collected inpatient data of malignant tumor from January 2007 to December 2015 in one hospital for model fitting,and used monthly data 2016 to verify the effect of model prediction.We predicted the number of inpatient and hospitalized expense of malignant tumor in 2017.Results ARIMA (0,1,1) (1,1,0) 12 was the best model for number of inpatient and hospitalized expense of malignant tumor,with prediction fitting errors of 1.1％ and 1.47 ％,respectively.The number of inpatient and hospitalized expense of malignant tumor in 2017 were predicted to be 7631 and 0.336 billion.Conclusion ARIMA product season model can better applied in the predicting of hospital business management.
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China has abundant available marginal land that can be used for cultivation of lignocellulosic energy plants. Saccharum arundinaceum Retz. is a potential energy crop with both high biomass yield and low soil fertility requirements. It can be planted widely as cellulosic ethanol feedstock in southern China. In the present work Saccharum arundinaceum was pretreated by liquid ammonia treatment (LAT) to overcome biomass recalcitrance, followed by enzymatic hydrolysis. The monosaccharide contents (glucose, xylose, and arabinose) of the enzymatic hydrolysate were determined by high performance liquid chromatography. Experimental results show that the optimal LAT pretreatment conditions were 130 0C, 2:1 (W/W) ammonia to biomass ratio, 80% moisture content (dry weight basis) and 5 min residence time. Approximately 69.34% glucan and 82.60% xylan were converted after 72 h enzymatic hydrolysis at 1% glucan loading using 15 FPU/(g of glucan) of cellulase. The yields of glucose and xylose were 573% and 1 056% higher than those of the untreated biomass, and the LAT-pretreated substrates obtained an 8-fold higher of total monosaccharide yield than untreated substrates. LAT pretreatment was an effective to increase the enzymatic digestibility of Saccharum arundinaceum compared to acid impregnated steam explosion and similar to that of acid treatment and ammonia fiber expansion treatment.
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Ammonia , Chemistry , Cellulase , Metabolism , Ethanol , Metabolism , Fermentation , Hydrolysis , Monosaccharides , Metabolism , Saccharum , Chemistry , MetabolismABSTRACT
Objective To Describe the queuing mathematical model and analyze the reasonable hospital application pattern of electronics voluntary system.Methods By scientifically arranging medical care personnel and equipment,patients queuing process was optimized.Results We successfully applied the outpatient real-time computer information management system of electronics voluntary based on this mathematical model.Conclusion It is a possible way to optimize the queuing process and improve the efficiency in electronic triage system based on queuing theory.