Comparison of retinal parameters between rhesus and cynomolgus macaques.

Nonhuman primates are important research models for basic vision research, preclinical pathogenesis, and treatment studies due to strong similarities in retinal structure and function with humans. We compared retinal parameters between 10 healthy normal rhesus macaques (Macaca mulatta) and 10 cynomolgus macaques (Macaca fascicularis) by optical coherence tomography and electroretinography. The Heidelberg Spectralis® HRA+OCT and Roland multifocal electrophysiometer were used to analyze retinal morphology, multifocal electroretinograms (mfERGs), and full-field electroretinograms (ff-ERGs). Mean retinal thickness was lowest in the central fovea of macaques and did not differ significantly between species, but the retinal thicknesses of the nerve fiber ganglion cell layer and the inner plexiform layer were significantly different. The amplitude density of the N1 wave was lower in rhesus macaques than in cynomolgus macaques in ring and quadrant areas. Dark-adapted 3.0 oscillatory potentials (reflection of amacrine cell activity) and light-adapted 30-hz flicker ERG (a sensitive cone-pathway-driven response) waveforms of the ff-ERG were similar in both species, while the times to peaks in dark-adapted 0.01 ERG (the rod-driven response of bipolar cells) and dark-adapted 3.0 ERG (combined rod and cone system responses) as well as the implicit times of the a- and b-waves in light-adapted 3.0 ERG (the single-flash cone response) were substantially different. This study provides normative retinal parameters for nonhuman primate research on basic and clinical ophthalmology, as well as a reference for researchers in the appropriate selection of rhesus or cynomolgus macaques as models for ophthalmology studies.

The application and effect of predictive nursing in the prevention of accidental events during operations for SMI patients.

OBJECTIVE: To explore the status and influencing factors of job burnout among psychiatric nurses and provide a reference for hospital managers to carry out occupational and psychological interventions. METHODS: Between September 2021 and September 2022, the psychiatric nurses in Wuhan Wudong Hospital (Wuhan Second Psychiatric Hospital) were selected as research participants using convenience sampling. The Chinese version of the nursing burnout scale was used to investigate the psychiatric nurses in the hospital, and a multiple linear regression analysis was performed on the factors affecting job burnout. RESULTS: Among the 121 psychiatric nurses, 57.85 % had no or only mild job burnout, 36.36 % had mild to moderate job burnout and 5.79 % had severe job burnout. The one-way analysis of variance indicated that there were statistical differences in the scores in terms of marital status, educational background, working years, income, work departments and shifts (p < 0.05). The multiple linear regression analysis indicated that the main influencing factors of job burnout were working years and work department (p < 0.05). CONCLUSION: The detection rate of nurses' job burnout in the featured psychiatric hospital was 42.10 %. The main influencing factors of job burnout were working years and work department, and targeted intervention can be carried out according to these two factors.

Effectiveness and Clinical Value of Laparoscopic Cholecystectomy and Cholangiography in the Diagnosis of Biliary Calculi.

Objective: To investigate the effectiveness and clinical value of cholangiography in the diagnosis of bile duct stones in laparoscopic cholecystectomy. Methods: 200 patients who underwent laparoscopic cholecystectomy in our hospital from January 2017 to January 2019 were randomly divided into research group and control group, with 100 cases in each group. The research group underwent choledochotomy and exploration with the help of choledochoscope, while the control group underwent cholangiography to diagnose bile duct stones. The cure rate, residual stone rate, complication rate, intraoperative bleeding, hospital stay and patient satisfaction were compared between the two groups. Results: in the control group, 9 cases were converted to laparotomy, 20 cases of common bile duct stones, 10 cases of bile duct injury and 6 cases of common bile duct variation. In the research group, there were 2 cases of conversion to laparotomy, 12 cases of common bile duct stones, 2 cases of bile duct injury and 4 cases of common bile duct variation. The cure rate of the researchgroup was higher than that of the control group, There was significant difference between the two groups (P < 0.05). The residual amount of stones in the research group was lower than that in the control group, and there was significant difference between the two groups (P < 0.05). The incidence of postoperative complications in the research group was lower than that in the control group, and there was significant difference between the two groups (P < 0.05). The patient satisfaction in the research group was higher than that in the control group, and there was significant difference between the two groups (P < 0.05). The intraoperative blood output of the research group was lower than that of the observation group, and there was significant difference between the two groups (P < 0.05). Conclusion: cholangiography is an effective method for the diagnosis of bile duct stones in laparoscopic cholecystectomy. Clarifying the variation and anatomical structure of bile duct is helpful to improve the surgical cure rate, reduce the residual rate of postoperative stones and the incidence of complications, reduce the amount of intraoperative bleeding, shorten the hospital stay, and promote the postoperative rehabilitation of patients.

[First flush effects of storm events of Baoxiang River in Lake Dianchi Watershed].

To understand riverine process of non-point source effectively, first flush effects of storm events were investigated at Baoxiang River of Lake Dianchi Watershed. Three sampling stations were selected along Baoxiang River for observing the flow rate and pollutant concentrations of the first three storm events from June 2009 to August 2009. Net discharged volume, net discharged loading, and net event mean concentration (EMC(n)) were proposed with their calculation methods. According to the analysis of three storm events at three stations, the following results colcd be extracted: (1) the larger the percent of impervious land and population density were, the higher EMC(n) of TSS, TN, TP, permanganate index and their cumulative curves [M(V)] were along the river; (2) TSS, TP loadings as well as their M (V) were positively correlated to the storm intensity, while TN and permanganate index loadings were consistent with the total rainfall of each storm event, where the percent of NO3(-) -N in total nitrogen decreased gradually when the number of storm events increased; (3) compared to tradition EMC, EMC(n) was proven to be a better indicator to accurately uncover and magnify the differences in first flush effects of storm events among different stations or storm events.

Analysis of spatial and temporal water pollution patterns in Lake Dianchi using multivariate statistical methods.

Various multivariate statistical methods including cluster analysis (CA), discriminant analysis (DA), factor analysis (FA), and principal component analysis (PCA) were used to explain the spatial and temporal patterns of surface water pollution in Lake Dianchi. The dataset, obtained during the period 2003-2007 from the Kunming Environmental Monitoring Center, consisted of 12 variables surveyed monthly at eight sites. The CA grouped the 12 months into two groups, August-September and the remainder, and divided the lake into two regions based on their different physicochemical properties and pollution levels. The DA showed the best results for data reduction and pattern recognition in both temporal and spatial analysis. It calculated four parameters (TEMP, pH, CODMn, and Chl-a) to 85.4% correct assignment in the temporal analysis and three parameters (BOD, NH4+-N, and TN) to almost 71.7% correct assignment in spatial analysis of the two clusters. The FA/PCA applied to datasets of two special clusters of the lake calculated four factors for each region, capturing 72.5% and 62.5% of the total variance, respectively. Strong loadings included DO, BOD, TN, CODCr, CODMn, NH4+-N, TP, and EC. In addition, box-whisker plots and GIS further facilitated and supported the multivariate analysis results.