ABSTRACT
Objective To study the effect of laparoscopic assisted resection of myoma on AMH and immune function in patients. Methods From May 2015 to May 2016, 102 patients underwent myomectomy treatment, the numbers were randomly divided into observation group and control group with 51 cases in each group. The control group was treated with traditional laparotomy treatment, and observation of patients in laparoscopic myomectomy in treatment of contrast. The indexes of two groups of surgery, before and after the treatment of ovarian function and immune function. Results The observation group of intraoperative bleeding in (83.40 ± 19.20) ml, significantly lower than the control group (148.70 ± 21.40) ml; no significant differences between two groups of AMH and FSH respectively before treatment, after treatment were observed in group AMH was significantly higher than the control group, while the level of FSH was significantly lower than the control group before treatment; two groups of IgG, there was no significant difference between IgA and IgM levels were observed in group IgG respectively after treatment, IgA and IgM were significantly higher than those in control group; the two groups before treatment CD3+, there was no significant difference between CD4+ and CD8+ levels were observed in group CD3+ respectively after treatment, CD4+ and CD8+ were significantly higher than those in control group. The difference there was statistically significant (P < 0.05). Conclusion The AMH level, FSH level and immune function of the patients with laparoscopic assisted resection of myoma of uterus is small, which is beneficial to the recovery of patients.
ABSTRACT
The main volatile compounds belong to TVOC or odor which may generate from industrial park,special sensors were adopted to build electronic nose for detecting those compounds. TVOC pollution index (TPI) and odor pollution index (OPI) were designed as well as detecting method based on electronic nose in the field. On this basis, considering the pollution situation of chemical industrial of Zhapu port in Jiaxing, six detecting points were selected to be tested by electronic nose on site. Each sensor responses processed by principal components analysis (PCA), two principal components were extracted, that is, eight sensors can be divided into two groups including the types of TVOC (S1) and odor (S2-S8). Meanwhile, the on site collected samples were qualitatively analyzed with GC/ MS. At each testing point, integral area percentage of the compounds being a part of TVOC accumulated mostly over 90% and to odor, mostly was below 10%. Results show: (1) Choosing appropriate sensors combining PCA can preliminarily reflect the pollution condition of TVOC and odor in industrial park; (2) Combining pollution indexes measured with electronic nose and results of qualitative analysis with GC/MS can generally concluded the overall pollution situation of TVOC and odor in industrial park and distribution of each pollutant; (3) Application of electronic noses and GIS to detect TVOC and odor in industrial park can preliminary assess space pollution situation in industrial park.
Subject(s)
Air Pollutants/analysis , Electronic Nose , Environmental Monitoring/methods , Odorants/analysis , Volatile Organic Compounds/analysis , IndustryABSTRACT
The present paper introduced the principle of clustering of variables around latent components method, and used this method in selecting spectrum range of the NIR quantitative analysis models. Taking tobacco samples as experiment materials, we dealed with 107 sample spectra, divided the spectra into 5 clusters, and explained the information reflected by each of these 5 clusters in terms of chemistry. On this basis, we chose the corresponding wavelength range to set up the quantitative models of the total sugar, reducing sugar and nicotine by PLS method. Compared with the model based on the full NIR spectral range, Rtraining of the models based on the chosen spectral range rose from 0.977 1, 0.917 2 and 0.987 4 to 0.995 5, 0.975 1 and 0.994 4; Rtest rose from 0.977 8, 0.941 2 and 0.993 2 to 0.992 7, 0.967 9 and 0.994 0; RMSECV dropped from 1.09, 1.43, 0.14 to 1.05, 1.05 and 0.13, RMSEP dropped from 0.92, 1.17 and 0.16 to 0.39, 0.63 and 0.11 and the D value dropped from 1.274%, 1.972% and 0.829% to 0.711%, 0.843% and 0.768% for the total sugar, reducing sugar and nicotine, respectively. These data indicated that this method can improve the forecasting precision and stability of the model, so offers certain guidance on practical application.
