Objective:The study aims to explore the interventional effect of Abrus cantonensis and Armeniaca mume Sieb and their compatibility on blood glucose and blood lipid in diabetic mice and to explore the optimal ratio of ...Objective:The study aims to explore the interventional effect of Abrus cantonensis and Armeniaca mume Sieb and their compatibility on blood glucose and blood lipid in diabetic mice and to explore the optimal ratio of efficacy of their compatibility.Methods:SPF Kunming male mice were fed with high sugar and high fat diet for 6 weeks and then intraperitoneally injected with STZ solution to establish a diabetes model.The successfully modeled mice were randomly divided into 6 groups according to their body weight:model group,Abrus Cantoniensis group,Armeniaca mume Sieb group,as well as Abrus Cantoniensis and Armeniaca mume Sieb group divided into 1:2,1:1 and 2:1 groups according to volume ratio with 10 mice in each group.Another 10 healthy mice were taken as blank group and intraperitoneally injected with sodium citrate buffer.The corresponding solution was given intragastric administration by body mass once a day for 20 days.After the last administration,fasting was performed for 12 hours.Serum was collected by the method of eyeball blood collection to determine the contents of fasting blood glucose,total cholesterol Triacylglycerol,triglyceride,low density lipoprotein and high-density lipoprotein.Results:Compared with Abrus Cantoniensis and Armeniaca mume Sieb groups,Glu,TG,TC and LDL-C of the three compatibility groups significantly decreased,with the most significant decrease in the compatibility group 1:2,while there was no significant difference in HDL-C among all groups.Conclusion:Abrus Cantoniensis and Armeniaca mume Sieb and their combination have synergistic effects on the improvement of blood glucose and lipid levels in mice with high glucose and high fat combined with STZ-induced diabetes mellitus model.Among all the experimental groups,the compatibility 1:2 group had the best effect.展开更多
Pressure fluctuations during the composite fiber winding process seriously affect the produces compactness strength,fatigue resistance,stress uniformity,and resin content.The accuracy of pressure control systems is af...Pressure fluctuations during the composite fiber winding process seriously affect the produces compactness strength,fatigue resistance,stress uniformity,and resin content.The accuracy of pressure control systems is affected by nonlinear disturbances,such as friction,parameter perturbation,and measurement noise.A robust control algorithm based on linear quadratic optimal control and sliding mode control(LQSMC)is proposed to overcome these problems.The method is based on the system state space expression and linear quadratic optimal control.The state space model of the system is improved by using a Kalman filter and control input for state estimation,and a new sliding surface equation is defined.The ameliorated control algorithm exhibits good performance and can effectively suppress sliding mode control(SMC)chattering.Simulation and experimental results show that LQSMC offers high control precision,much stronger antiinterference,and robustness,which can effectively improve the positioning and tracking accuracy of a pressure control system compared with linear quadratic optimal control(LQC).The winding pressure control precision is improved by 45%to 50%.The results show that the porosity of composite fiber tape winding products decreased thanks to our method.展开更多
基金This work was supported by National Natural Science Foundation of China(No.81360684)Guangxi Key Research and Development Plan Project(Gui Ke AB18221095)+3 种基金Teaching Teacher Training Project from Youjiang Medical University for Nationalities-National Teaching Teacher Training Project(You Hospital Zi[2018]No.98)High-level Talent Research Projects from Youjiang Medical University For Nationalities(No.01002018079)China National and Regional University Students Innovation and Entrepreneurship Training Scheme Funding(No.202010599022)China Regional University Students Innovation and Entrepreneurship Training Scheme Funding(No.202010599073).
文摘Objective:The study aims to explore the interventional effect of Abrus cantonensis and Armeniaca mume Sieb and their compatibility on blood glucose and blood lipid in diabetic mice and to explore the optimal ratio of efficacy of their compatibility.Methods:SPF Kunming male mice were fed with high sugar and high fat diet for 6 weeks and then intraperitoneally injected with STZ solution to establish a diabetes model.The successfully modeled mice were randomly divided into 6 groups according to their body weight:model group,Abrus Cantoniensis group,Armeniaca mume Sieb group,as well as Abrus Cantoniensis and Armeniaca mume Sieb group divided into 1:2,1:1 and 2:1 groups according to volume ratio with 10 mice in each group.Another 10 healthy mice were taken as blank group and intraperitoneally injected with sodium citrate buffer.The corresponding solution was given intragastric administration by body mass once a day for 20 days.After the last administration,fasting was performed for 12 hours.Serum was collected by the method of eyeball blood collection to determine the contents of fasting blood glucose,total cholesterol Triacylglycerol,triglyceride,low density lipoprotein and high-density lipoprotein.Results:Compared with Abrus Cantoniensis and Armeniaca mume Sieb groups,Glu,TG,TC and LDL-C of the three compatibility groups significantly decreased,with the most significant decrease in the compatibility group 1:2,while there was no significant difference in HDL-C among all groups.Conclusion:Abrus Cantoniensis and Armeniaca mume Sieb and their combination have synergistic effects on the improvement of blood glucose and lipid levels in mice with high glucose and high fat combined with STZ-induced diabetes mellitus model.Among all the experimental groups,the compatibility 1:2 group had the best effect.
基金supported by the National Natural Science Foundation of China(No.51505356).
文摘Pressure fluctuations during the composite fiber winding process seriously affect the produces compactness strength,fatigue resistance,stress uniformity,and resin content.The accuracy of pressure control systems is affected by nonlinear disturbances,such as friction,parameter perturbation,and measurement noise.A robust control algorithm based on linear quadratic optimal control and sliding mode control(LQSMC)is proposed to overcome these problems.The method is based on the system state space expression and linear quadratic optimal control.The state space model of the system is improved by using a Kalman filter and control input for state estimation,and a new sliding surface equation is defined.The ameliorated control algorithm exhibits good performance and can effectively suppress sliding mode control(SMC)chattering.Simulation and experimental results show that LQSMC offers high control precision,much stronger antiinterference,and robustness,which can effectively improve the positioning and tracking accuracy of a pressure control system compared with linear quadratic optimal control(LQC).The winding pressure control precision is improved by 45%to 50%.The results show that the porosity of composite fiber tape winding products decreased thanks to our method.
