ObjectiveTo investigate the effects of foliar fertilizer of nano-calcium carbonate and calcium nitrate tetrahydrate on the agronomic traits， carbohydrate and endogenous hormone contents of Dendrobium officinale planted for 1 year under greenhouse cultivation， in order to provide scientific basis for fertilization to improve the yield and quality of D. officinale. MethodsSingle-factor experimental design was adopted. Starting from early spring， D. officinale was treated with foliar spraying according to corresponding fertilizers. Three treatment groups were established based on different fertilizers， namely， a blank group（clear water）， a nano-calcium carbonate group（0.727 g·L^-1 nano-calcium carbonate water-soluble fertilizer）， and a calcium nitrate tetrahydrate group（1.091 g·L^-1 calcium nitrate tetrahydrate water-soluble fertilizer）. The frequency of spraying was three times per month， and the entire treatment process lasted for nine months. The effects of various treatments on the traits and relative chlorophyll content of D. officinale were dynamically monitored. Sampling was conducted at three specific time points：August 2， 2023， September 8， 2023， and November 1， 2023， respectively. The contents of glucose and mannose in D. officinale stems were determined by high performance liquid chromatography（HPLC）， the content of soluble sugars in D. officinale stems and leaves was determined by phenol method， and enzyme-linked immunosorbent assay（ELISA） was used to detect the concentrations of cytokinin and auxin. ResultsCompared with the blank group， the treatments with nano-calcium carbonate and calcium nitrate tetrahydrate could significantly increase stem length， stem node number， leaf number， and tiller number. Among them， during the harvesting period in November， the stem length and tiller number， which are indicators related to the yield of D. officinale， increased by 60.85% and 19.23% after treatment with calcium nitrate tetrahydrate， and by 32.54% and 28.85% after treatment with nano-calcium carbonate， respectively. Compared with the blank group， treatments with nano-calcium carbonate and calcium nitrate tetrahydrate could promote the accumulation of sucrose in the stems and leaves of D. officinale to varying degrees， as well as the accumulation of polysaccharides， mannose， and glucose in the stems. In addition， nano-calcium carbonate treatment also facilitated the accumulation of fructose in the stems and leaves of D. officinale. Specifically， during the harvesting period in November， polysaccharides and mannose， which were the main active ingredients in D. officinale stems， increased by 28.48% and 29.36% after treatment with calcium nitrate tetrahydrate， and by 39.91% and 82.62% after treatment with nano-calcium carbonate， respectively. In addition， compared with the blank group， the concentrations of auxin in the stems and leaves of D. officinale were significantly increased after treatment with calcium nitrate tetrahydrate（P<0.05）. Similarly， the concentrations of cytokinin and auxin in the stems of D. officinale were also elevated after treatment with nano-calcium carbonate. Correlation analysis further indicated that elongation growth and tillering of D. officinale stems after foliar spraying of nano-calcium carbonate and calcium nitrate tetrahydrate might be related to the accumulation of carbohydrates in the stems and leaves and the synergistic effect of auxin and cytokinin. ConclusionIn production practice， spraying nano-calcium carbonate and calcium nitrate tetrahydrate can promote the accumulation of cytokinin， auxin， and carbohydrate contents in the stems and leaves of D. officinale， and promote tillering and elongation growth of the stems.

Objective:To explore the influencing factors of clinical pregnancy outcomes in patients with hydrosalpinx undergoing in vitro fertilization-embryo transfer(IVF-ET) after interventional embolization and whether residual hydrops has an adverse impact on pregnancy outcomes.Methods:Clinical data from 65 patients who underwent interventional embolization and IVF-ET for hydrosalpinx at the Third Affiliated Hospital of Zhengzhou University from March 2021 to October 2022 were collected retrospectively. The hydrops index was quantified by the ratio of the widest diameter to the pelvic transverse diameter of the intraoperative hydrops, and the patient′s age, body mass index(BMI), follicle-stimulating hormone(FSH), lutenizing hormine(LH), estradiol(E2), automated matetials hangling(AMH), endometrial thickness at the time of transplantation, the number of transplanted embryos, embryo type, and location of the hydrosalpinx were recorded. In addition, the clinical pregnancy outcomes of the first transplantation after embolization were followed. Two independent samples t-test, rank sum test and chi-square test were used to analyze the difference of the above indexes among different clinical pregnancy outcomes by SPSS 25.0. The receiver operating characteristic (ROC) curves and Youden index were used to calculate the cut-off value of the water accumulation index. Results:Among 65 patients, the clinical pregnancy rate was 63.1%(41/65), among the 45 patients who underwent embryo transfer before embolization without success, the clinical pregnancy rate after embolization was 62.2%(28/45). Based on data analysis, it showed that IVF-ET clinical pregnancy outcomes were not associated with age, BMI, FSH, LH, E2, AMH, endometrial thickness at the time of transplantation, the number of transplanted embryos, embryo type, as well as location of hydrosalpinx( P>0.05), but associated with hydrosalpinx index( P<0.001). ROC curve analysis showed that the hydrops index could be used as a predictor of pregnancy outcome, and the area under the curve was 0.825, and the optimal cut-off value of the hydrops index was 12.925% based on the Youden index analysis result. Conclusions:Interventional embolization of hydrosalpinx may improve clinical pregnancy rates. When the hydrosalpinx is large enough, it could adversely affected IVF-ET clinical pregnancy, and further aspiration of hydrosalpinx should be performed prior to transplantation.

Objective:Efficiency is a key factor in the sustainable operation of the medical insurance system.By measuring the current efficiency of the urban employee basic medical insurance system in 31 provinces in China from 2020 to 2021,it discovers possible problems,and provides reference suggestions for improving the efficiency of the system.Methods:Using the super efficiency SBM model based on unexpected output and the Malmquist index to measure the static and dynamic efficiency of employee medical in-surance in 31 provinces in China,and using Tobit regression analysis to analyze its influencing factors.Results:The overall compre-hensive efficiency of the national employee medical insurance operation is 0.826 in 2020 and 0.827 in 2021 respectively.The efficien-cy of employee medical insurance operation in the eastern region is significantly higher than that in the central and westem regions.Over 60％of provinces have inefficient operation of employee medical insurance.The overall total factor productivity of employee medical insurance operation is showing a downward trend,and the decline in technological progress is the main limiting factor.The level of economic development has a significant promotion effect on the efficiency of employee medical insurance operation,and the degree of population aging has a significant inhibitory effect on it.Conclusion:The efficiency of employee medical insurance opera-tion in China still needs to be improved,and there is a significant efficiency gap among different regions.Therefore,investment and attention should be increased in the central and western regions to bridge regional gaps and promote the equity development of medi-cal insurance.Therefore,the reform efforts should be continuously intensified to achieve technological progress.In addition,attention should also be paid to the driving role of economic development in the efficiency of employee medical insurance operation and the for-mulation of positive policies on population aging.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.