As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been ...As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been the ability to predict landslide susceptibility,which can be used to design schemes of land exploitation and urban development in mountainous areas.In this study,the teaching-learning-based optimization(TLBO)and satin bowerbird optimizer(SBO)algorithms were applied to optimize the adaptive neuro-fuzzy inference system(ANFIS)model for landslide susceptibility mapping.In the study area,152 landslides were identified and randomly divided into two groups as training(70%)and validation(30%)dataset.Additionally,a total of fifteen landslide influencing factors were selected.The relative importance and weights of various influencing factors were determined using the step-wise weight assessment ratio analysis(SWARA)method.Finally,the comprehensive performance of the two models was validated and compared using various indexes,such as the root mean square error(RMSE),processing time,convergence,and area under receiver operating characteristic curves(AUROC).The results demonstrated that the AUROC values of the ANFIS,ANFIS-TLBO and ANFIS-SBO models with the training data were 0.808,0.785 and 0.755,respectively.In terms of the validation dataset,the ANFISSBO model exhibited a higher AUROC value of 0.781,while the AUROC value of the ANFIS-TLBO and ANFIS models were 0.749 and 0.681,respectively.Moreover,the ANFIS-SBO model showed lower RMSE values for the validation dataset,indicating that the SBO algorithm had a better optimization capability.Meanwhile,the processing time and convergence of the ANFIS-SBO model were far superior to those of the ANFIS-TLBO model.Therefore,both the ensemble models proposed in this paper can generate adequate results,and the ANFIS-SBO model is recommended as the more suitable model for landslide susceptibility assessment in the study area considered due to its excellent accuracy and efficiency.展开更多
The toxicity of the new hemostatic material S-100 absorbable stanching satin was studied by embedding it in the body of rats. The staching satin embedded in the abdominal cavity of rats could be absorbed rapidly witho...The toxicity of the new hemostatic material S-100 absorbable stanching satin was studied by embedding it in the body of rats. The staching satin embedded in the abdominal cavity of rats could be absorbed rapidly without any macroscopic residue or organic abnormality in one week. After being embedded outside the dura mater of rats for a week, some stanching satin was found to remain in the form of unadherent small soft balls which disappeared in one more week. In the pathological examination no residue in cells was found in the major organs, and no degeneration, necrosis, hemorrhage or thrombosis in these organs and the vessels was observed. All the biochemical parameters in blood and routine urine examination were in the normal ranges. The results of the three behavior function tests were negative. It showed S-100 stanching satin, embedded in the body of rats for 12 weeks, had neither general toxicity nor adverse effect on the higher nervous activity, general behavior and equilibrium function of rats.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.41807192,41790441)Innovation Capability Support Program of Shaanxi(Grant No.2020KJXX-005)Natural Science Basic Research Program of Shaanxi(Grant Nos.2019JLM-7,2019JQ-094)。
文摘As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been the ability to predict landslide susceptibility,which can be used to design schemes of land exploitation and urban development in mountainous areas.In this study,the teaching-learning-based optimization(TLBO)and satin bowerbird optimizer(SBO)algorithms were applied to optimize the adaptive neuro-fuzzy inference system(ANFIS)model for landslide susceptibility mapping.In the study area,152 landslides were identified and randomly divided into two groups as training(70%)and validation(30%)dataset.Additionally,a total of fifteen landslide influencing factors were selected.The relative importance and weights of various influencing factors were determined using the step-wise weight assessment ratio analysis(SWARA)method.Finally,the comprehensive performance of the two models was validated and compared using various indexes,such as the root mean square error(RMSE),processing time,convergence,and area under receiver operating characteristic curves(AUROC).The results demonstrated that the AUROC values of the ANFIS,ANFIS-TLBO and ANFIS-SBO models with the training data were 0.808,0.785 and 0.755,respectively.In terms of the validation dataset,the ANFISSBO model exhibited a higher AUROC value of 0.781,while the AUROC value of the ANFIS-TLBO and ANFIS models were 0.749 and 0.681,respectively.Moreover,the ANFIS-SBO model showed lower RMSE values for the validation dataset,indicating that the SBO algorithm had a better optimization capability.Meanwhile,the processing time and convergence of the ANFIS-SBO model were far superior to those of the ANFIS-TLBO model.Therefore,both the ensemble models proposed in this paper can generate adequate results,and the ANFIS-SBO model is recommended as the more suitable model for landslide susceptibility assessment in the study area considered due to its excellent accuracy and efficiency.
文摘The toxicity of the new hemostatic material S-100 absorbable stanching satin was studied by embedding it in the body of rats. The staching satin embedded in the abdominal cavity of rats could be absorbed rapidly without any macroscopic residue or organic abnormality in one week. After being embedded outside the dura mater of rats for a week, some stanching satin was found to remain in the form of unadherent small soft balls which disappeared in one more week. In the pathological examination no residue in cells was found in the major organs, and no degeneration, necrosis, hemorrhage or thrombosis in these organs and the vessels was observed. All the biochemical parameters in blood and routine urine examination were in the normal ranges. The results of the three behavior function tests were negative. It showed S-100 stanching satin, embedded in the body of rats for 12 weeks, had neither general toxicity nor adverse effect on the higher nervous activity, general behavior and equilibrium function of rats.