Objective To investigate the effect of Zuogui Jiangtang Jieyu Formula(左归降糖解郁方,ZJJF)on hippocampal neuron apoptosis in diabetic rats with depression and to ascertain whether its mechanism involves the regulation...Objective To investigate the effect of Zuogui Jiangtang Jieyu Formula(左归降糖解郁方,ZJJF)on hippocampal neuron apoptosis in diabetic rats with depression and to ascertain whether its mechanism involves the regulation of JNK signaling pathway.Methods(i)A total of 72 specific pathogen-free(SPF)grade male Sprague Dawley(SD)rats were randomly divided into six groups,with 12 rats in each group:control,model,metformin(Met,0.18 g/kg)+fluoxetine(Flu,1.8 mg/kg),and the high-,medium-,and low-ZJJF dosages(ZJJF-H,20.52 g/kg;ZJJF-M,10.26 g/kg;ZJJF-L,5.13 g/kg)groups.All groups except control group were injected once via the tail vein with streptozotocin(STZ,38 mg/kg)combined with 28 d of chronic unpredictable mild stress(CUMS)to establish diabetic rat models with depression.During the CUMS modeling period,treatments were administered via gavage,with control and model groups receiving an equivalent volume of distilled water for 28 d.The efficacy of ZJJF in reducing blood sugar and alleviating depression was evaluated by measuring fasting blood glucose,insulin,and glycated hemoglobin levels,along with behavioral assessments,including the open field test(OFT),forced swim test(FST),and sucrose preference test(SPT).Hippocampal tissue damage and neuronal apoptosis were evaluated using hematoxylin-eosin(HE)staining and terminal deoxynucleotidyl transferase-mediated dUTP nickend labeling(TUNEL)staining.Apoptosis-related proteins Bax,Bcl-2,caspase-3,and the expression levels of JNK/Elk-1/c-fos signaling pathway were detected using Western blot and real-time quantitative polymerase chain reaction(RT-qPCR).(ii)To further elucidate the role of JNK signaling pathway in hippocampal neuronal apoptosis and the pharmacological effects of ZJJF,an additional 50 SPF grade male SD rats were randomly divided into five groups,with 10 rats in each group:control,model,SP600125(SP6,a JNK antagonist,10 mg/kg),ZJJF(20.52 g/kg),and ZJJF(20.52 g/kg)+Anisomycin(Aniso,a JNK agonist,15 mg/kg)groups.Except for control group,all groups were established as diabetic rat models with depression,and treatments were administered via gavage for ZJJF and intraperitoneal injection for SP6 and Aniso for 28 d during the CUMS modeling period.Behavioral changes in rats were evaluated through the OFT,FST,and SPT,and hippocampal neuron damage and apoptosis were observed using HE staining,Nissl staining,TUNEL staining,and transmission electron microscopy(TEM).Changes in apoptosis-related proteins and JNK signaling pathway in the hippocampal tissues of rats were also analyzed.展开更多
A model based on the non-linear artificial neural network （ANN） is established to predict the thickness of the water film on road surfaces. The weight and the threshold can be determined by training test data, and t...A model based on the non-linear artificial neural network （ANN） is established to predict the thickness of the water film on road surfaces. The weight and the threshold can be determined by training test data, and the water film thickness on the road surface can be accurately predicted by the empirical verification based on sample data. Results show that the proposed ANN model is feasible to predict the water film thickness of the road surface.展开更多
The problem of path planning is studied for t he case for a mobile robot moving in a known environment. An aggressive algorith m using a description of the obstacles based on a neural network is proposed. Th e algorit...The problem of path planning is studied for t he case for a mobile robot moving in a known environment. An aggressive algorith m using a description of the obstacles based on a neural network is proposed. Th e algorithm allows to construct an optimal path which is piecewise linear with c hanging directions of the obstacles and the calculation speed for the proposed a lgorithm is comparatively fast. Simulation results and an application to a car_l ike robot 'Khepera' show the effectiveness of the proposed algorithm.展开更多
Novel accurate and efficient equivalent circuit trained artificial neural-network （EC-ANN） models,which inherit and improve upon EC model and EM-ANN models＇ advantages,are developed for coplanar waveguide （CPW） d...Novel accurate and efficient equivalent circuit trained artificial neural-network （EC-ANN） models,which inherit and improve upon EC model and EM-ANN models＇ advantages,are developed for coplanar waveguide （CPW） discontinuities. Modeled discontinuities include ： CPW step, interdigital capacitor, symmetric cross junction, and spiral inductor, for which validation tests are performed. These models allow for circuit design, simulation, and optimization within a CAD simulator. Design and realization of a coplanar lumped element band pass filter on GaAs using the developed CPW EC-ANN models are demonstrated.展开更多
基金National Natural Science Foundation of China(82104836 and 82104793)Science and Technology Talent Promotion Project of Hunan Province(2023TJ-N22).
文摘Objective To investigate the effect of Zuogui Jiangtang Jieyu Formula(左归降糖解郁方,ZJJF)on hippocampal neuron apoptosis in diabetic rats with depression and to ascertain whether its mechanism involves the regulation of JNK signaling pathway.Methods(i)A total of 72 specific pathogen-free(SPF)grade male Sprague Dawley(SD)rats were randomly divided into six groups,with 12 rats in each group:control,model,metformin(Met,0.18 g/kg)+fluoxetine(Flu,1.8 mg/kg),and the high-,medium-,and low-ZJJF dosages(ZJJF-H,20.52 g/kg;ZJJF-M,10.26 g/kg;ZJJF-L,5.13 g/kg)groups.All groups except control group were injected once via the tail vein with streptozotocin(STZ,38 mg/kg)combined with 28 d of chronic unpredictable mild stress(CUMS)to establish diabetic rat models with depression.During the CUMS modeling period,treatments were administered via gavage,with control and model groups receiving an equivalent volume of distilled water for 28 d.The efficacy of ZJJF in reducing blood sugar and alleviating depression was evaluated by measuring fasting blood glucose,insulin,and glycated hemoglobin levels,along with behavioral assessments,including the open field test(OFT),forced swim test(FST),and sucrose preference test(SPT).Hippocampal tissue damage and neuronal apoptosis were evaluated using hematoxylin-eosin(HE)staining and terminal deoxynucleotidyl transferase-mediated dUTP nickend labeling(TUNEL)staining.Apoptosis-related proteins Bax,Bcl-2,caspase-3,and the expression levels of JNK/Elk-1/c-fos signaling pathway were detected using Western blot and real-time quantitative polymerase chain reaction(RT-qPCR).(ii)To further elucidate the role of JNK signaling pathway in hippocampal neuronal apoptosis and the pharmacological effects of ZJJF,an additional 50 SPF grade male SD rats were randomly divided into five groups,with 10 rats in each group:control,model,SP600125(SP6,a JNK antagonist,10 mg/kg),ZJJF(20.52 g/kg),and ZJJF(20.52 g/kg)+Anisomycin(Aniso,a JNK agonist,15 mg/kg)groups.Except for control group,all groups were established as diabetic rat models with depression,and treatments were administered via gavage for ZJJF and intraperitoneal injection for SP6 and Aniso for 28 d during the CUMS modeling period.Behavioral changes in rats were evaluated through the OFT,FST,and SPT,and hippocampal neuron damage and apoptosis were observed using HE staining,Nissl staining,TUNEL staining,and transmission electron microscopy(TEM).Changes in apoptosis-related proteins and JNK signaling pathway in the hippocampal tissues of rats were also analyzed.
文摘A model based on the non-linear artificial neural network （ANN） is established to predict the thickness of the water film on road surfaces. The weight and the threshold can be determined by training test data, and the water film thickness on the road surface can be accurately predicted by the empirical verification based on sample data. Results show that the proposed ANN model is feasible to predict the water film thickness of the road surface.
文摘The problem of path planning is studied for t he case for a mobile robot moving in a known environment. An aggressive algorith m using a description of the obstacles based on a neural network is proposed. Th e algorithm allows to construct an optimal path which is piecewise linear with c hanging directions of the obstacles and the calculation speed for the proposed a lgorithm is comparatively fast. Simulation results and an application to a car_l ike robot 'Khepera' show the effectiveness of the proposed algorithm.
文摘Novel accurate and efficient equivalent circuit trained artificial neural-network （EC-ANN） models,which inherit and improve upon EC model and EM-ANN models＇ advantages,are developed for coplanar waveguide （CPW） discontinuities. Modeled discontinuities include ： CPW step, interdigital capacitor, symmetric cross junction, and spiral inductor, for which validation tests are performed. These models allow for circuit design, simulation, and optimization within a CAD simulator. Design and realization of a coplanar lumped element band pass filter on GaAs using the developed CPW EC-ANN models are demonstrated.
