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Objective:To construct a scientific research evaluation model through principal component analysis, and to explore scientific research evaluation methods for hospitals.Methods:The professional title, educational background, positions and scientific research output information of the scientific research personnel in the First Hospital of Jilin University from 2019 to 2020 were collected. Delphi expert consultation was used to determine the assignment value of each variable, and use SPSS 21.0 software was used to build the principal component analysis model and conduct model verification.Results:The study collected a total of 1 882 researchers′ information. The KMO value of the validity test and the Bartlett sphere test meet the requirements of principal component analysis (KMO=0.731, P<0.05); the model obtained a total of 7 principal components. Among them, principal component 1 represents researchers who published SCI papers, applying for national, provincial and ministerial level scientific research projects, and their part-time positions in academic societies. The second principal component represents the status of applying for patents and publications, and the third principal component represents the status of the awards. The scores of scientific research output of researchers were summarized and sorted according to disciplines, according to which the neurology, endocrinology and metabolism, neurosurgery, general surgery and orthopedics ranked better. The model verification results found that researchers with senior professional titles and doctoral degrees had the highest median weighted comprehensive score( P<0.05), suggesting that scholars with higher professional title levels and higher education received higher comprehensive scientific research output scores. Conclusions:The scientific research evaluation model constructed by this study can provide scientific data reference for the hospital scientific research evaluation.
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Objective To observe the effect of Sijunzi Decoction (SD) on the mitochondrial DNA deletion of the aging model mice, and to explore its anti-aging biomolecular mechanism. Methods Kunming mice were divided into 6 groups according to the body weight: normal control group, .model control group, high-, middle-and low-dose SD groups (at the dose of 20, 10, 5 g·kg-1 respectively), and vitamin E group (250 mg·kg-1), 20 mice in each group.The mice models of aging were induced by D-galactose. Water maze test was used to evaluate the learning and memory ability of the aging model mice. The effect of SD on the mitochondrial DNA deletion of the aging model mice was ob-served. Results In the hippocampal mtDNA of model control group and low-dose SD group, there were about 3.87 kb fragment missing. But there was no missing pieces in high-and middle-dose SD groups. Conclusion The anti-aging biomolecular mechanism of SD is probably related to the preventive effect on the mutation and deletion of the mitochondrial DNA in the aging model mice.
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To investigate the effects of traditional Chinese medicine (TCM) therapy for clearing heat and resolving phlegm on systemic inflammatory response syndrome (SIRS) in acute deterioration stage of chronic obstructive pulmonary disease (COPD) and the serum procalcitonin (PCT) level.
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Objective To compare the effect of Sijunzi Tang and Yougui Yin on learning-memory ability and free radicals in aging rat model.Methods The aging rat model was induced by intraperitoneal injection of D-galactose.The swimming time and error times in water maze test were observed and the free radicals SOD,MDA,NO,NOS in rat brain tissue were measured.Results Sijunzi Tang could shorten the rat swimming time in water maze test.Yougui Yin could increase SOD level and decrease MDA level in brain tissue of model rat,while Sijunzi Tang could decrease NO and NOS level.Conclusion Sijunzi Tang could improve the rat spatial learning and memory ability,and Yougui Yin could relieve the damage of free radical in brain tissue of the aging rat model.