We have previously demonstrated that acute treatment with low dose methamphetamine is neuroprotectivein a rat model of severe traumatic brain injury (TBI). Using gene expression analysis, we further showed that metham...We have previously demonstrated that acute treatment with low dose methamphetamine is neuroprotectivein a rat model of severe traumatic brain injury (TBI). Using gene expression analysis, we further showed that methamphetamine treatment significantly reduced the expression of pro-inflammatory genes after severe TBI. Therefore, to further investigate the potential effects of methamphetamine treatment on the neuroinflammatory response, we examined immunofluorescent staining of Iba1 and CD68, two marker of neuroinflammation, in the rat lateral fluid percussion injury model of severe TBI. In this study, we observed temporal and spatial alterations in the pattern of Iba1 and CD68 labeling within two weeks after severe TBI. In general, methamphetamine treatment did not dramatically alter the pattern of Iba1 and CD68 staining. However, we did observe a unique and significant drug-induced increase of Iba1 labeling within the granule cell layer of the dentate gyrusat 48 hours post injury. We also observed rod-shaped Iba1+?cells within the core lesion in the cortex. These cells showed variable staining with CD68 and aligned most closely with MAP2+?neuronal processes. Thus, acute treatment with low-dose methamphetamine after severe TBI caused a transient bilateral increase of Iba1+?cells within the granule layer of the dentate gyrus but did not alter the overall temporal and regional pattern of Iba1 and CD68 staining within the cortex, periventricular white matter, fimbria, or thalamus.展开更多
Stenting is a vegetative propagation method, based on cutting and grafting in one action. The question addressed in this study is whether indole-3-butyric acid (IBA) concentration is able to impress success of Chinese...Stenting is a vegetative propagation method, based on cutting and grafting in one action. The question addressed in this study is whether indole-3-butyric acid (IBA) concentration is able to impress success of Chinese hibiscus propagation when grafted onto two kinds of rootstocks. The used IBA concentrations include: 0, 1000, 3000 and 5000 ppm and two cultivars of Hibiscus syriacus (“Blue Stain” and “Jeanne d’Arc”), which have been used as rootstock. Results indicated that, all the cultivars were superior for most of the measured parameters when IBA treatments were used compared to control plants except for average of the longest root size. The highest healing percentage resulted in stentlings (plant which has been propagated by stenting method) with 5000 ppm of IBA treatment. All IBA treatments significantly increased rooting percentage compared with the control plants. Stentlings that were treated with 3000 and 5000 ppm of IBA, produced the greatest leave number. In Chinese hibiscus/“Jeanne d’Arc” combination, higher root number and dry weight of roots were observed. Interactions of kinds of rootstock and IBA concentration showed that the highest healing percentage was obtained in “Blue Stain” in concentration of 5000 ppm and the highest root number were seen in stentlings with “Jeanne d’Arc” in 3000 ppm and “Jeanne d’Arc” in 5000 ppm.展开更多
As the banking industry gradually steps into the digital era of Bank 4.0,business competition is becoming increasingly fierce,and banks are also facing the problem of massive customer churn.To better maintain their cu...As the banking industry gradually steps into the digital era of Bank 4.0,business competition is becoming increasingly fierce,and banks are also facing the problem of massive customer churn.To better maintain their customer resources,it is crucial for banks to accurately predict customers with a tendency to churn.Aiming at the typical binary classification problem like customer churn,this paper establishes an early-warning model for credit card customer churn.That is a dual search algorithm named GSAIBAS by incorporating Golden Sine Algorithm(GSA)and an Improved Beetle Antennae Search(IBAS)is proposed to optimize the parameters of the CatBoost algorithm,which forms the GSAIBAS-CatBoost model.Especially,considering that the BAS algorithm has simple parameters and is easy to fall into local optimum,the Sigmoid nonlinear convergence factor and the lane flight equation are introduced to adjust the fixed step size of beetle.Then this improved BAS algorithm with variable step size is fused with the GSA to form a GSAIBAS algorithm which can achieve dual optimization.Moreover,an empirical analysis is made according to the data set of credit card customers from Analyttica official platform.The empirical results show that the values of Area Under Curve(AUC)and recall of the proposedmodel in this paper reach 96.15%and 95.56%,respectively,which are significantly better than the other 9 common machine learning models.Compared with several existing optimization algorithms,GSAIBAS algorithm has higher precision in the parameter optimization for CatBoost.Combined with two other customer churn data sets on Kaggle data platform,it is further verified that the model proposed in this paper is also valid and feasible.展开更多
文摘We have previously demonstrated that acute treatment with low dose methamphetamine is neuroprotectivein a rat model of severe traumatic brain injury (TBI). Using gene expression analysis, we further showed that methamphetamine treatment significantly reduced the expression of pro-inflammatory genes after severe TBI. Therefore, to further investigate the potential effects of methamphetamine treatment on the neuroinflammatory response, we examined immunofluorescent staining of Iba1 and CD68, two marker of neuroinflammation, in the rat lateral fluid percussion injury model of severe TBI. In this study, we observed temporal and spatial alterations in the pattern of Iba1 and CD68 labeling within two weeks after severe TBI. In general, methamphetamine treatment did not dramatically alter the pattern of Iba1 and CD68 staining. However, we did observe a unique and significant drug-induced increase of Iba1 labeling within the granule cell layer of the dentate gyrusat 48 hours post injury. We also observed rod-shaped Iba1+?cells within the core lesion in the cortex. These cells showed variable staining with CD68 and aligned most closely with MAP2+?neuronal processes. Thus, acute treatment with low-dose methamphetamine after severe TBI caused a transient bilateral increase of Iba1+?cells within the granule layer of the dentate gyrus but did not alter the overall temporal and regional pattern of Iba1 and CD68 staining within the cortex, periventricular white matter, fimbria, or thalamus.
文摘Stenting is a vegetative propagation method, based on cutting and grafting in one action. The question addressed in this study is whether indole-3-butyric acid (IBA) concentration is able to impress success of Chinese hibiscus propagation when grafted onto two kinds of rootstocks. The used IBA concentrations include: 0, 1000, 3000 and 5000 ppm and two cultivars of Hibiscus syriacus (“Blue Stain” and “Jeanne d’Arc”), which have been used as rootstock. Results indicated that, all the cultivars were superior for most of the measured parameters when IBA treatments were used compared to control plants except for average of the longest root size. The highest healing percentage resulted in stentlings (plant which has been propagated by stenting method) with 5000 ppm of IBA treatment. All IBA treatments significantly increased rooting percentage compared with the control plants. Stentlings that were treated with 3000 and 5000 ppm of IBA, produced the greatest leave number. In Chinese hibiscus/“Jeanne d’Arc” combination, higher root number and dry weight of roots were observed. Interactions of kinds of rootstock and IBA concentration showed that the highest healing percentage was obtained in “Blue Stain” in concentration of 5000 ppm and the highest root number were seen in stentlings with “Jeanne d’Arc” in 3000 ppm and “Jeanne d’Arc” in 5000 ppm.
基金This work is supported by the National Natural Science Foundation of China(Nos.72071150,71871174).
文摘As the banking industry gradually steps into the digital era of Bank 4.0,business competition is becoming increasingly fierce,and banks are also facing the problem of massive customer churn.To better maintain their customer resources,it is crucial for banks to accurately predict customers with a tendency to churn.Aiming at the typical binary classification problem like customer churn,this paper establishes an early-warning model for credit card customer churn.That is a dual search algorithm named GSAIBAS by incorporating Golden Sine Algorithm(GSA)and an Improved Beetle Antennae Search(IBAS)is proposed to optimize the parameters of the CatBoost algorithm,which forms the GSAIBAS-CatBoost model.Especially,considering that the BAS algorithm has simple parameters and is easy to fall into local optimum,the Sigmoid nonlinear convergence factor and the lane flight equation are introduced to adjust the fixed step size of beetle.Then this improved BAS algorithm with variable step size is fused with the GSA to form a GSAIBAS algorithm which can achieve dual optimization.Moreover,an empirical analysis is made according to the data set of credit card customers from Analyttica official platform.The empirical results show that the values of Area Under Curve(AUC)and recall of the proposedmodel in this paper reach 96.15%and 95.56%,respectively,which are significantly better than the other 9 common machine learning models.Compared with several existing optimization algorithms,GSAIBAS algorithm has higher precision in the parameter optimization for CatBoost.Combined with two other customer churn data sets on Kaggle data platform,it is further verified that the model proposed in this paper is also valid and feasible.
